Dokumendiregister | Terviseamet |
Viit | 8.1-2/24/3084-1 |
Registreeritud | 21.03.2024 |
Sünkroonitud | 26.03.2024 |
Liik | Sissetulev dokument |
Funktsioon | 8.1 Nakkushaiguste seire, ennetuse ja tõrje korraldamine |
Sari | 8.1-2 Nakkushaiguste epidemioloogiaalane riigiväline kirjavahetus |
Toimik | 8.1-2/2024 |
Juurdepääsupiirang | Avalik |
Juurdepääsupiirang | |
Adressaat | ECDC respiratory viruses |
Saabumis/saatmisviis | ECDC respiratory viruses |
Vastutaja | Kärt Sõber (TA, Peadirektori asetäitja (1) vastutusvaldkond, Nakkushaiguste epidemioloogia osakond) |
Originaal | Ava uues aknas |
Saatja: ECDC respiratory viruses <[email protected]>
Saadetud: 20.03.2024 18:46
Koopia: ECDC Info <[email protected]>
Teema: To NFPs and OCPs for information - Change of coded value list for
Brand of COVID19 vaccinations (BrandLastCOVID19Dose)
Tähelepanu! Tegemist on väljastpoolt asutust saabunud kirjaga. Tundmatu
saatja korral palume linke ja faile mitte avada.
To: National Focal Points for Viral Respiratory Diseases,
Operational Contact Points for COVID-19, Influenza and SARI for
Epidemiology, Microbiology and TESSy;
Cc: National Coordinators
Dear colleagues,
The coded value list for the variable BrandLastCOVID19Dose has been
updated across all TESSy record types including RESPISURV and
SARISURV. This is meant to facilitate reporting of all vaccines, as
needed. The new coded value was activated on March 8.
The metadata and attached reporting protocol can be found as usual on
TESSy. The reporting protocol is also published on the .
Kind regards,
The ECDC and WHO Europe respiratory virus surveillance teams
Confidentiality NoticeIf you are not the intended recipient of this
message, you are hereby kindly requested, to, consecutively, refrain from
disclosing its content to any third party, delete it and inform its
sender of the erroneous transmittal.
Integrated respiratory virus surveillance March 2024
TESSy - The European Surveillance
System
Reporting Protocol for integrated respiratory
virus surveillance, version 1.5
Page 2 of 96
Contents
Contents ................................................................................................................... 2
How to use this document ................................................................................................ 4
Finding further information .............................................................................................. 4
Copyright ........................................................................................................................ 5
Introduction .............................................................................................................. 6
Aim................................................................................................................................. 6
Objectives ....................................................................................................................... 6
Record types ................................................................................................................... 6
Case definitions ............................................................................................................... 7
Reporting to TESSy .................................................................................................... 9
When, what and how to report ......................................................................................... 9
Preparing data................................................................................................................. 9
Checking metadata .......................................................................................................... 9
Submitting your data ....................................................................................................... 9
Finalising your submission .............................................................................................. 10
Navigating EpiPulse cases platform ................................................................................. 10
TESSy/EpiPulse Cases Help Desk .................................................................................... 10
Annex ..................................................................................................................... 11
Revisions of metadata sets ............................................................................................. 11
Current record type versions .......................................................................................... 11
RESPIAGGR metadata .................................................................................................... 12
RESPISEVERE metadata ................................................................................................. 18
RESPISURV metadata .................................................................................................... 22
SARISURV metadata ...................................................................................................... 36
SARISURVDENOM metadata ........................................................................................... 52
INFLSARIAGGR metadata ............................................................................................... 58
INFLCLINAGGR metadata ............................................................................................... 75
INFLANTIVIR metadata .................................................................................................. 83
NCOVVARIANT metadata ............................................................................................... 94
Page 3 of 96
Summary of changes to current metadata
The following changes have been made to SARISURV:
• 08/03/2024: BrandLastCOVID19Dose coded value list has been updated.
• 07/12/2023: BrandLastCOVID19Dose coded value list has been updated.
• 27/11/2023: BA.2.86 added to the coded value list for VirusVariantCOVID
• Precondition (repeatable variable with coded value list) and Complications (repeatable variable with coded value list) have been added. The individual variables for preconditions
and complications have been removed: ASTH, CANC, CARDIACDIS, DIAB, HYPERT, HIV, IMMUNEOTH, IMMUNO, KIDNEY, LIVER, LUNG, DEMENT, OBES, PREG, PREGTRIM, SMOKE,
ARDS, BRONCH, COAG, ENCEPH, LONGCOVID, MYOCARD, PIMS, PNEU. Precondition Coded
value list for Precondition now includes DOWNS (Down's Syndrome) and PREM (Prematurity).
• Variable OtherSymptoms changed to be repeatable, with coded value list added. The individual variables for symptoms other than cough and fever have been removed: ANOS,
AGEUS, DIARR, HEAD, PAINMUSC, RUNOS, SBREATH, SORETHR, VOMIT, GENERALDETER.
• ResultSARSCoV2 was added which replaces the two previous variables ResultPCRSARSCoV2 and ResultRADTSARSCoV2 (which have been removed). Additionally,
ResultCtValuePCRSARSCoV2, PreviousInfluenza, and WgsEnaId have been removed.
• RSVtype variable added.
• RSV vaccination variables added (RSVvaccinated, RSVvaccinatedMother, RSVvacDate, RSVVacProduct).
• NumberOfCovid19VaccDose, BrandLastCOVID19Dose, DateLastCOVID19VaccDose have been
added. The following variables linked to vaccination status have been removed:
NCoVVacFirstDose, NCoVVacFirstBrand, NCoVVacFirstDate, NCoVVacSecDose, NCoVVacSecBrand, NCoVVacSecDate, NCoVVacThirdDose, NCoVVacThirdBrand,
NCoVVacThirdDate, NCoVVacFourthDose, NCoVVacFourthBrand, NCoVVacFourthDate, InfluenzaVaccinatedPrevSeason, InfluenzaVaccinatedSecLastSeason, YearLastPCV,
YearLastPPV, LTCF and PlaceOfNotification have been removed.
• Coded value list for Outcome updated: DIEDOTH and DIEDUNK have been added, DISCHARGED renamed to ALIVE.
• Previously used variable InfluenzaSubtype renamed to InfluenzaTypeSubtype; coded value
list has been updated.
• DrugUsedProphylaxis and DrugUsedTreatment coded value lists have been updated.
The following changes have been made to INFLSARIAGGR:
• Variables that have been added: unknown age cases (for SARI admissions, SARI admissions
to ICU/HDU, SARI deaths, hospital admission denominators, catchment population denominators, specimens tested for influenza, specimens positive for influenza, specimens
tested for SARS-CoV-2, specimens positive for SARS-CoV-2, specimens tested for RSV and
specimens positive for RSV), NumSpecimensRSVTypeA, NumSpecimensRSVTypeB
• Variables that have been deleted: total cases (for SARI admissions, SARI admissions to ICU/HDU, SARI deaths, hospital admission denominators, catchment population
denominators, specimens tested for influenza, specimens positive for influenza, specimens tested for SARS-CoV-2, specimens positive for SARS-CoV-2, specimens tested for RSV and
specimens positive for RSV)
• Variables NumSpecimensSWOAH1DetectSARI and NumSpecimensSWOAH1N1DetectSARI were renamed to NumSpecimensAH1pdm09DetectSARI and
NumSpecimensAH1N1pdm09DetectSARI. Number of SARI specimens positive for influenza
A(H1) not N subtyped and Number of SARI specimens positive for influenza A(H1N1) other than pdm09 were removed from metadata.
The following changes have been made to SARISURVDENOM:
• Variables that have been added: unknown age cases (for SARI admissions, hospital admission
denominators and catchment population denominators).
• Variables that have been deleted: total cases (for SARI admissions, hospital admission
denominators and catchment population denominators).
Page 4 of 96
The following changes have been made to RESPISURV:
• 08/03/2024: BrandLastCOVID19Dose coded value list has been updated.
• 07/12/2023: BrandLastCOVID19Dose coded value list has been updated.
• 27/11/2023: BA.2.86 added to the coded value list for VirusVariantCOVID
• Previously requested case-based data from primary care sentinel surveillance and influenza
virus characterisation data should no longer be reported to RESPISURV. The type of data that can be reported to RESPISURV is summarised in the Introduction section below. Data
previously reported to INFLSARI should be reported to RESPISURV.
• Removed from RESPISURV: antigenic group, date of sample collection, ENA identifier, genetic
clade, HA sequence aa resistance mutations, interpretation M2blocker resistance testing, interpretation oseltamivir resistance testing, interpretation PA blocker testing, interpretation
zanamivir resistance testing, M2 sequence aa resistance mutations, NA sequence aa resistance mutations, PA sequence aa resistance mutations. Data should be reported to
INFLANTIVIR instead.
• DIEDUNK has been added to the coded value list for Outcome.
• InfluenzaTypeSubtype coded value list has been updated.
• Drug Used for Prophylaxis and Drug Used for Treatment coded value list has been updated.
• Precondition coded value list has been updated: DOWNS and PREM.
• RSVtype variable and RSV vaccination variables added (RSVVaccinated, RSVVaccinatedMother, RSVVacDate, RSVVacProduct).
The following changes have been made to INFLANTIVIR:
• 27/11/2023: Influenza AntigenicGroup and GeneticClade coded value lists have been updated.
• Variables that have been added: SequenceID
• InfluenzaTypeSubtype coded value list has been updated.
The following changes have been made to RESPIAGGR:
• InfluenzaTypeSubtype coded value list has been updated.
The following changes have been made to NCOVVARIANT:
• 27/11/2023: BA.2.86 added to the coded value list for VirusVariant
How to use this document
This Reporting Protocol provides information for reporting countries’ data managers in three main
sections:
• Reporting to TESSy – contains guidelines on how to prepare data for submission to TESSy,
deadlines for data submission, subject-specific information (e.g. new changes to metadata),
and links to further information.
• Annex – contains:
o The metadata set for the subject(s) covered by this Reporting Protocol.
Finding further information
Paragraphs denoted by the information icon tell where you can find further information.
Page 5 of 96
Updated links to all the schedules, documentation and training materials mentioned in this Reporting
Protocol are included in the TESSy Technical Guidelines & Tools (see the menu ‘Technical Guidelines
and Tools’ when logged in TESSy), including:
• Metadata sets and history.
• Tutorials for data transformation using respectively Excel and Access.
• TESSy user documentation.
• CSV and XML transport protocols.
Copyright
© European Centre for Disease Prevention and Control, 2024. Reproduction is authorised, provided the
source is acknowledged.
Page 6 of 96
Introduction
This Reporting Protocol describes data collection for influenza, COVID-19, and other respiratory viruses
(such as RSV or new viruses of public health concern) in the EU/EEA and wider WHO European Region.
Data collection is integrated for most datasets in line with the operational considerations for respiratory
virus surveillance in Europe.
Aim
To support the timely and complete reporting of key information for surveillance of respiratory virus
such as for influenza, COVID-19, RSV or new viral diseases of public health concern.
Objectives
Weekly outputs focus mainly on Objectives 1,2 and 3 (outlined in Table 1). Objectives 4 and 5 can be
addressed with detailed analysis using a combination of the reported record types.
1. Monitor the intensity, geographical spread and temporal patterns of influenza, COVID-19,
and other respiratory virus infections to inform mitigation measures.
2. Monitor severity, risk factors for severe disease, and assess the impact on healthcare systems
of influenza, COVID-19, and other respiratory virus infections to inform mitigation measures.
3. Monitor changes and characteristics of circulating and emerging respiratory viruses,
particularly virological changes of influenza viruses, SARS-CoV-2, and other respiratory viruses
to inform treatment, drug, and vaccine development.
4. Describe the burden of disease associated with influenza, COVID-19, and other respiratory
virus infections.
5. Assess vaccine effectiveness against influenza, COVID-19, and other respiratory virus
infections where locally feasible.
Record types
All record types except INFLANTIVIR and NCOVVARIANT are integrated record types that are based on
reporting of a syndrome (ILI, ARI or SARI) and/or the reporting of lab-confirmed infections by
pathogen(s) specified by the relevant variable. Table 1 provides an overview of data collection of
sentinel and non-sentinel data and indicates how these data map to the objectives outlined above.
Reporting of sentinel data should be prioritised. Non-sentinel data should be reported as complementary
data, particularly if sentinel data is missing, insufficient or not representative.
The following record types exist in TESSy. Included variables for each record type are outlined below
in the annex.
1. INFLCLINAGGR for reporting of weekly age-disaggregated primary care syndromic data
(ILI/ARI) and qualitative indicators.
2. RESPIAGGR for reporting of age-disaggregated counts of laboratory-confirmed detections
and tests from sentinel and non-sentinel surveillance system by week and pathogen.
3. RESPISEVERE for reporting of age-disaggregated counts of hospital, ICU indicators (new
admissions, current inpatients) and deaths due to respiratory illness associated with the
pathogen aggregated by week, indicator, and pathogen.
4. RESPISURV for reporting of case-based data by pathogen for cases meeting one or more of
the following criteria:
o Data on severe cases (hospitalised, requiring respiratory support, ICU admission or
fatal) that are not covered by existing SARI surveillance systems (and therefore
Page 7 of 96
reported into SARISURV). This includes data from laboratory-based confirmed cases in
hospital settings previously reported to INFLSARI.
o COVID-19 cases that have been sequenced or genotyped and for which additional
epidemiological information are available to facilitate variant severity assessment,
including whether the cases experienced a severe outcome and the case’s vaccination
information. If this information is not available, then reporting via GISAID (or
optionally NCOVVARIANT – see below) is sufficient.
5. INFLSARIAGGR for reporting of age-disaggregated data from SARI surveillance, including
weekly counts of hospital admissions, hospital catchment population, SARI deaths, pathogen-
specific tests and detections.
6. SARISURV for case-based reporting of SARI cases.
7. SARISURVDENOM for reporting of weekly denominators for the record type SARISURV
(hospital catchment population and admissions, by age group). 8. INFLANTIVIR for reporting of strain-based influenza virus characterisation and antiviral
susceptibility data.
9. NCOVVARIANT (optional if GISAID data is reported) for weekly aggregated reporting of
SARS-CoV-2 variants of interest and of concern.
Case definitions
Case definition: Cases should be reported according to the current EU case definition. Data on
probable and possible cases are not collected.
Please note that:
1. All data collected are shared with the World Health Organisation – Regional Office for Europe
(WHO/Europe) on a weekly basis to fulfil Member States reporting requirements to WHO.
Duplicate reporting to WHO HQ is therefore not required.
2. If data have not been uploaded in TESSy and approved on time it will not be possible to
include the data in weekly reports. If you are unable to meet this deadline, please contact the
ECDC Respiratory Viruses surveillance team ([email protected] with
[email protected] in copy).
3. Case-based data on human infections with zoonotic influenza viruses should be reported to
INFLZOO metadata set and aggregated to INFLZOOAGGR. A separate reporting protocol is
available.
Page 8 of 96
Table 1: Surveillance objectives mapping to record type and type of data (sentinel vs. non-
sentinel data) for weekly monitoring. Both case/strain-based and aggregate data is shown.
1 NCOVVARIANT (optional - for countries that prefer reporting of aggregate variant data to TESSy than GISAID) or RESPISURV (for countries able to report case-based variant data to TESSy)
2 Raw sequencing data to be reported to the European Nucleotide Archive (ENA) if available.
Objectives Sentinel data
(priority)
Non-sentinel data
(complementary)
1. Monitor the intensity,
geographical spread and
temporal patterns of
influenza, COVID-19, and
other respiratory virus
infections to inform
mitigation measures.
INFLCLINAGGR age-disaggregated syndromic data
(ILI/ARI) and qualitative indicators.
AND
RESPIAGGR age-disaggregated detections and tests
from sentinel surveillance systems
RESPIAGGR age-disaggregated lab-confirmed
detections and tests from non-sentinel
surveillance systems
2. Monitor severity, risk
factors for severe disease,
and assess the impact on
healthcare systems of
influenza, COVID-19, and
other respiratory virus
infections to inform
mitigation measures.
INFLSARIAGGR age-disaggregated SARI data including
denominator data (e.g., hospital catchment
population)
OR
SARISURV case-based reporting of SARI cases
AND
SARISURVDENOM weekly denominators for the record type
SARISURV
RESPISEVERE age-disaggregated hospital, ICU
indicators and deaths
AND/OR
RESPISURV Case-based data by pathogen for
severe cases that are not covered by
existing SARI surveillance systems
3. Monitor changes and
characteristics of circulating
and emerging respiratory
viruses, particularly
virological changes of
influenza viruses, SARS-
CoV-2, and other
respiratory viruses to
inform treatment, drug,
and vaccine development.
SARS-CoV-2:
GISAID
OR
TESSy0F
1
SARS-CoV-2:
GISAID
OR
TESSy1
Influenza:
INFLANTIVIR strain-based influenza virus characterisation
data
AND
GISAID1F
2
Influenza:
INFLANTIVIR strain-based influenza virus
characterisation data
AND
GISAID2
Page 9 of 96
Reporting to TESSy
When, what and how to report
Deadline for reporting:
Wednesday 23:59 CET for all record types. If you are unable to meet this deadline, please contact the
ECDC Respiratory Viruses surveillance team ([email protected] and copy
Preparing data
Data may be entered directly in EpiPulse Cases (TESSy) for individual records (‘Manually create a
record’). For any batch reporting by file upload (CSV or XML format) please note that once the data
has been exported from your national database it needs to be in a format that TESSy can accept (see
‘checking metadata’).
Checking metadata
The EpiPulse Cases (TESSy) metadata define the fields and valid data formats for input for a given
subject.
To ensure data can be saved correctly in EpiPulse Cases (TESSy), please check the data are
correctly formatted according to the most recent metadata set.
Changes to the metadata for the subject of this Reporting Protocol are described in:
• Changes to current metadata – changes since the last Reporting Protocol.
• Annex Metadata change history – all preceding changes.
It is especially important to focus on:
Field formats
Many fields require that data are formatted in a specific way. For example, dates must be in the
YYYY-MM-DD format; dates in the DD/MM/YYYY format will be rejected.
Coded values
Some fields only permit the use of specific values (coded values). For example, M, F, UNK, or
Other are the coded values for Gender and any other value in a Gender field will be rejected.
The metadata file contains all the definitions and rules you need to comply with to format your data
correctly for every subject (usually a disease). The file can be downloaded as an Excel file from the
EpiPulse Cases (TESSy) documents website.
By filtering the fields in the file by subject, you can see the fields required for your subject and the rules
applying to these fields.
The Tessy User Guide provides an overview of how you work with the metadata file, and the TESSy
user documentation provides in-depth details on metadata.
Submitting your data
The TESSy / Upload page is accessible from the EpiPulse > Report > Cases menu. Data are submitted
through the EpiPulse Cases web interface (go to Upload). Previously reported data can be found
through the review tab. The TESSy / Review page is accessible from the EpiPulse > Manage > Edit
case / Case validation menu.
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The EpiPulse Cases (Tessy) User Guide provides an overview of how you submit files to TESSy and
in-depth descriptions of all the upload methods.
Finalising your submission
The compliance of your data with the validation rules in the metadata is checked automatically during
the data upload process.
The result of your upload – i.e., rejected or validated – is displayed immediately after the check in the
Validation details webpage has completed. Please review the result carefully:
• If your file has been rejected, there will be a message explaining each instance of non-
compliance with the metadata that you need to correct.
• If your file has been validated, there might be warnings and remarks relating to possible data
quality issues or to potential overwriting of existing records that you should consider.
When you file has been validated and you are satisfied that all corrections have been made, please
ensure prompt approval – unapproved uploads can block the approval of other uploads.
• The EpiPulse Cases (TESSy) user documentation provides information on reviewing validation
results and adjusting reporting periods to avoid overwriting existing records.
• General training and guidance on reporting is available on the EpiPulse Cases (TESSy) website. A
training video on reporting COVID-19 data is available in the ECDC virtual academy.
Navigating EpiPulse cases platform
Below is presented a mapping of the pages from TESSy to the EpiPulse Portal menu:
The TESSy / Upload page: Report > Cases menu.
The TESSy / Review page: Manage > Edit case / Case validation menu.
The TESSy / Query page: Explore > Download data menu.
The TESSy / Reports page: Explore > Surveillance Dashboards / Reports > Legacy reports
The TESSy / Data Sources: Report > Surveillance system descriptors
The TESSy / My profile page: My profile and preference
TESSy / Documents page: Collaborate > TESSy Help & Docs
Relevant menu items are highlighted in yellow below.
TESSy/EpiPulse Cases Help Desk
Email: [email protected]
Telephone number: +46-(0)8-5860 1601
Availability: 9:00 – 16:00 Stockholm time, Monday to Friday (except ECDC Holidays)
Page 11 of 96
Annex
Revisions of metadata sets
The most recent metadata set is available from the EpiPulse website under "TESSy Help & Docs"
technical guidelines and tools tab (as shown below).
Current record type versions
Table 2 shows the current record type versions in use for reporting data to TESSy.
Table 2: RESPISURV, RESPISEVERE, and RESPIAGGR, SARISURV, SARISURVDENOM,
INFLSARIAGGR, INFLCLINAGGR, INFLANTIVIR and NCOVVARIANT record type version
Record type Type of data Record type version
RESPIAGGR Aggregated 1
RESPISURV Case-based 2
RESPISEVERE Aggregated 1
SARISURV Case-based 4
SARISURVDENOM Aggregated 2
INFLSARIAGGR Aggregated 4
INFLCLINAGGR Aggregated 5
INFLANTIVIR Case-based 9
NCOVVARIANT Aggregated 2
Annex: RESPIAGGR metadata
Page 12 of 96
RESPIAGGR metadata
RESPIAGGR is used for reporting of age-disaggregated sentinel and non-sentinel indicators
(tests and detections) for influenza, SARS-CoV-2 and RSV. Data reported to RESPIAGGR should have
the surveillance type, pathogen, influenza type/subtype and RSV type specified.
Common TESSy variables
Record id (mandatory)
Field: RecordId
Coding: Text (max 80 characters)
The record identifier is provided by the Member State. It must be:
• unique within the national respiratory virus diseases surveillance system
• anonymous.
Record type (mandatory)
Field: RecordType
Coding: RESPIAGGR
The record type defines the structure and the format of the data reported (case-based reporting or
aggregate reporting). The record types are defined by ECDC and are related to the subject. Only valid
combinations of subject, record type and data source are accepted.
Record type version
Field: RecordTypeVersion
Coding: Numeric
The version of the record type defines the current structure of the data reported. If no
RecordTypeVersion is provided in the batch, it is set automatically with current version of the Record
type (Table 2). This variable is not mandatory as TESSy concludes the record type version from the
metadata set indicated by default. However, RecordTypeVersion is required when no metadata set is
provided at upload or when a RecordTypeVersion, other than the current one, needs to be used.
Subject (mandatory)
Field: Subject
Coding: RESPIAGGR
The subject describes the data to be reported.
Data source (mandatory)
Field: DataSource
Coded value list name: [Data sources]
Coding: Can be created/ modified by the National Coordinator
The data source specifies the source from which the data originates and is generated and
revised/updated by the national contact point for surveillance in each Member State. If needed multiple
data sources per country can be entered by different users to facilitate reporting.
Annex: RESPIAGGR metadata
Page 13 of 96
Status (mandatory)
Field: Status
Coded value list name: [Statuses]
Coding: DELETE = Delete a previously reported record.
NEW/UPDATE = Report a new or update a previously reported record (default).
The field ‘Status’ is used for updating data; the default is NEW/UPDATE. By choosing DELETE the
selected record (or batch of data) will remain in TESSy but be marked as inactive; this data can be
used to reconstruct data for a given date in the past.
Reporting country (mandatory)
Field: ReportingCountry
Coded value list name: [Countries]
Coding: International organization for standardization (ISO) 3166-1-alpha-2, (two-letter code)
This variable identifies the country reporting the case.
Date used for statistics (mandatory)
Field: DateUsedForStatistics
Coding: yyyy-Www
The week for which the reported data refers. This is the date used by the national surveillance
institute/organisation in reports and official statistics. The date used for statistics can vary from country
to country but is it is preferably the date the case was notified to the national health authorities
(notification date). For RESPIAGGR, the date should ideally be based on the date of sample.
Epidemiological variables
Age 00-04
Field: Age00-04
Coding: Numeric
Number of patients for age group 0-4 years corresponding to the reported indicator, newly reported
for week of reporting.
Age 05-14
Field: Age05-14
Coding: Numeric
Number of patients for age group 05-14 years corresponding to the reported indicator, newly reported
for week of reporting.
Annex: RESPIAGGR metadata
Page 14 of 96
Age 15-29
Field: Age15-29
Coding: Numeric
Number of patients for age group 15-29 years corresponding to the reported indicator, newly reported
for week of reporting.
Age 15-64
Field: Age15-64
Coding: Numeric
Number of patients for age group 15-64 years corresponding to the reported indicator, newly reported
for week of reporting. Please only use this reporting type if data are not reported for 15-29 and 30-64
separately.
Age 30-64
Field: Age30-64
Coding: Numeric
Number of patients for age group 30-64 years corresponding to the reported indicator, newly reported
for week of reporting.
Age 65+
Field: Age65+
Coding: Numeric
Number of patients for age group 65+ years corresponding to the reported indicator, newly reported
for week of reporting. Please only use this reporting type if data are not reported for 65-79 and 80+
separately.
Age 65-79
Field: Age65-79
Coding: Numeric
Number of patients for age group 65-79 years corresponding to the reported indicator, newly reported
for week of reporting.
Age 80+
Field: Age80+
Coding: Numeric
Number of patients for age group 80+ years corresponding to the reported indicator, newly reported
for week of reporting.
Annex: RESPIAGGR metadata
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Age UNK
Field: AgeUnk
Coding: Numeric
Number of patients with unknown age, newly reported for week of reporting.
Indicator (mandatory)
Field: Indicator
Coded value list name: Indicator
Coding: TESTS
DETECTIONS
Selected indicator to report.
NOTE: Particularly for sentinel data, please ensure that you report a row for DETECTIONS for each
pathogen for which TESTS are reported, including for zero detections. This way then zero detections
(and 0%) positivity can be correctly reported in surveillance outputs. Similarly, if reporting sentinel
DETECTIONS please be sure to also report TESTS.
Surveillance type (mandatory)
Field: SurvType
Coded value list name: SurvSystem
Coding: NONSTL = Non-sentinel
STL = Sentinel
Type of surveillance system through which the detections/ tests was notified.
Pathogen (mandatory)
Field: PathogenRESPI
Coded value list name: Pathogen
Coding: INFL = Influenza virus
MERS = MERS-CoV
RSV = Respiratory syncytial virus
SARSCOV2 = SARS-CoV-2
O = Other
Pathogen associated with tests or detections. If selecting Other, please specify which pathogen in
Pathogen – Other.
Pathogen – Other
Field: PathogenOther
Coding: Text
Specified pathogen not captured in the coded values for Pathogen.
Annex: RESPIAGGR metadata
Page 16 of 96
Influenza Type Subtype
Annex: RESPIAGGR metadata
Page 17 of 96
Field: InfluenzaTypeSubtype
Coded value list: InfluenzaTypeSubtype
Coding:
A = A, not sub-typed
AH3 = A(H3), not N sub-typed
AH3N2 = A(H3N2)
B = B, lineage not determined
BVic = Influenza type B, Victoria lineage
BYam = Influenza type B, Yamagata lineage
AH1pdm09 = A(H1)pdm09
AH1N1pdm09 = A(H1N1)pdm09
UNK = Unknown
Influenza type, subtype, or lineage to be reported where Influenza is reported for the variables
Pathogen or Coinfection. If a zoonotic virus variant is detected, please report through record types
INFLZOO (case-based data) or INFLZOOAGGR (aggregated).
RSV type
Field: RSVType
Coded value list name: RSVType
Coding: A = RSV type A
B = RSV type B
UNK = RSV unknown type
RSV type to be reported where RSV is reported for the variable Pathogen.
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RESPISEVERE metadata
Common TESSy variables
Record id (mandatory)
Field: RecordId
Coding: Text (max 80 characters)
The record identifier is provided by the Member State. It must be:
• unique within the national respiratory virus diseases surveillance system
• anonymous.
Record type (mandatory)
Field: RecordType
Coding: RESPISEVERE
The record type defines the structure and the format of the data reported (case based reporting or
aggregate reporting). The record types are defined by ECDC and are related to the subject. Only valid
combinations of subject, record type and data source are accepted.
Record type version
Field: RecordTypeVersion
Coding: Numeric
The version of the record type defines the current structure of the data reported. If no
RecordTypeVersion is provided in the batch, it is set automatically with current version of the Record
type (Table 2). This variable is not mandatory as TESSy concludes the record type version from the
metadata set indicated by default. However, RecordTypeVersion is required when no metadata set is
provided at upload or when a RecordTypeVersion, other than the current one, needs to be used.
Subject (mandatory)
Field: Subject
Coding: RESPISEVERE
The subject describes the data to be reported.
Data source (mandatory)
Field: DataSource
Coding: Can be created/ modified by the National Coordinator
The data source specifies the source from which the data originates and is generated and
revised/updated by the national contact point for surveillance in each Member State. If needed multiple
data sources per country can be entered by different users to facilitate reporting.
Status (mandatory)
Field: Status
Coded value list name: [Statuses]
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Coding: DELETE = Delete a previously reported record.
NEW/UPDATE = Report a new or update a previously reported record (default).
The field ‘Status’ is used for updating data; the default is NEW/UPDATE. By choosing DELETE the
selected record (or batch of data) will remain in TESSy but be marked as inactive; this data can be
used to reconstruct data for a given date in the past.
Reporting country (mandatory)
Field: ReportingCountry
Coded value list name: [Countries]
Coding: International organization for standardization (ISO) 3166-1-alpha-2, (two-letter code)
This variable identifies the country reporting the case.
Date used for statistics (mandatory)
Field: DateUsedForStatistics
Coding: yyyy-Www
The week for which the reported data refers. This is the date used by the national surveillance
institute/organisation in reports and official statistics. The date used for statistics can vary from country
to country but is it is preferably the date the case was notified to the national health authorities
(notification date). For RESPISEVERE, the date should ideally be based on the date of admission to
hospital, ICU or the date of death.
Epidemiological variables
Age 00-04
Field: Age00-04
Coding: Numeric
Number of patients for age group 0-4 years corresponding to the reported indicator, newly reported
for week of reporting.
Age 05-14
Field: Age05-14
Coding: Numeric
Number of patients for age group 05-14 years corresponding to the reported indicator, newly reported
for week of reporting.
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Age 15-29
Field: Age15-29
Coding: Numeric
Number of patients for age group 15-29 years corresponding to the reported indicator, newly reported
for week of reporting.
Age 15-64
Field: Age15-64
Coding: Numeric
Number of patients for age group 15-64 years corresponding to the reported indicator, newly reported
for week of reporting. Please only use this reporting type if data are not report for 15-29 and 30-64
separately.
Age 30-64
Field: Age30-64
Coding: Numeric
Number of patients for age group 30-64 years corresponding to the reported indicator, newly reported
for week of reporting.
Age 65+
Field: Age65+
Coding: Numeric
Number of patients for age group 65+ years corresponding to the reported indicator, newly reported
for week of reporting. Please only use this reporting type if data are not report for 65-79 and 80+
separately.
Age 65-79
Field: Age65-79
Coding: Numeric
Number of patients for age group 65-79 years corresponding to the reported indicator, newly reported
for week of reporting.
Age 80+
Field: Age80+
Coding: Numeric
Number of patients for age group 80+ years corresponding to the reported indicator, newly reported
for week of reporting.
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Age UNK
Field: AgeUnk
Coding: Numeric
Number of patients with unknown age, newly reported for week of reporting.
Indicator (mandatory)
Field: Indicator
Coded value list name: Indicator
Coding: HOSAD = Weekly hospital admissions due to respiratory illness associated with the pathogen
HOSINPAT = Current inpatients in hospital due to respiratory illness associated with the
pathogen as of Wednesday for the week of reporting
ICUAD = Weekly ICU admissions due to respiratory illness associated with the pathogen
ICUINPAT = Current inpatients in ICU/HDU due to respiratory illness associated with the
pathogen as of Wednesday for the week of reporting
DEATH = Weekly deaths due to respiratory illness associated with the pathogen
Selected indicator due to respiratory illness associated with the pathogen.
Pathogen (mandatory)
Field: Pathogen
Coded value list name: PathogenRESPI
Coding: INFL = Influenza virus
MERS = MERS-CoV
RSV = Respiratory syncytial virus
SARSCOV2 = SARS-CoV-2
O = Other
Pathogen associated with severity indicator. If selecting Other, please specify which pathogen in
Pathogen – Other.
Pathogen – Other
Field: PathogenOther
Coding: Text
Specified pathogen not captured in the coded values for Pathogen.
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RESPISURV metadata
Common TESSy variables
Record id (mandatory)
Field: RecordId
Coding: Text (max 80 characters)
The record identifier is provided by the Member State. It must be:
• unique within the national respiratory virus diseases surveillance system
• anonymous.
Record type (mandatory)
Field: RecordType
Coding: RESPISURV = Respiratory virus surveillance
The record type defines the structure and the format of the data reported (case based reporting or
aggregate reporting). The record types are defined by ECDC and are related to the subject. Only valid
combinations of subject, record type and data source are accepted.
Record type version
Field: RecordTypeVersion
Coding: Numeric
The version of the record type defines the current structure of the data reported. If no
RecordTypeVersion is provided in the batch, it is set automatically with current version of the Record
type (Table 2). This variable is not mandatory as TESSy concludes the record type version from the
metadata set indicated by default. However, RecordTypeVersion is required when no metadata set is
provided at upload or when a RecordTypeVersion, other than the current one, needs to be used.
Subject (mandatory)
Field: Subject
Coding: RESPISURV = Respiratory virus surveillance
The subject describes the data to be reported.
Data source (mandatory)
Field: DataSource
Coding: Can be created/ modified by the National Coordinator
The data source specifies the source from which the data originates and is generated and
revised/updated by the national contact point for surveillance in each Member State. If needed multiple
data sources per country can be entered by different users to facilitate reporting.
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Status (mandatory)
Field: Status
Coded value list name: [Statuses]
Coding: DELETE = Delete a previously reported record.
NEW/UPDATE = Report a new or update a previously reported record (default).
The field ‘Status’ is used for updating data; the default is NEW/UPDATE. By choosing DELETE the selected
record (or batch of data) will remain in TESSy but be marked as inactive; this data can be used to
reconstruct data for a given date in the past.
Reporting country (mandatory)
Field: ReportingCountry
Coding: International organization for standardization (ISO) 3166-1-alpha-2, (two-letter code)
This variable identifies the country reporting the case.
Date used for statistics (mandatory)
Field: DateUsedForStatistics
Coding: yyyy-mm-dd (preferred)
yyyy-Www
This is the date used by the national surveillance institute/organisation in reports and official statistics.
The date used for statistics can vary from country to country but is it is preferably the date the case was
notified to the national health authorities (notification date). If date of notification is not available, then
date of onset can be used instead. Where date of onset is available then please also report this field
separately as it is most useful for epidemiological analysis.
Epidemiological variables
Age
Field: Age
Coding: Numerical (0-120)
UNK = Unknown
Age of patient in years as reported in the national system at the time of disease onset.
Age in months
Field: AgeMonth
Coding: Numerical (0-23)
NA = Not applicable
UNK = Unknown
Age of patient in months as reported in the national system for cases <2 years of age at the time of
disease onset.
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Brand of last received COVID-19 vaccination dose
Field: BrandLastCOVID19Dose
Coded value list name: VaccineCOVID
Coding: AZ = AstraZeneca - Vaxzevria
BECNBG = Beijing CNBG - BBIBP-CorV
BECOV2A = Biological E – Corbeva
BHACOV = Bharat - Covaxin
BIMER = Hipra - Bimervax
CAN = CanSino - Convidecia
CHU = Chumakov - Covi-Vac
COM = Pfizer BioNTech - Comirnaty
COMBA.1 = Pfizer BioNTech - Comirnaty Original/Omicron BA.1
COMBA.4-5 = Pfizer BioNTech - Comirnaty Original/Omicron BA.4/BA.5
COMBIV = Pfizer BioNTech-Comirnaty Bivalent (Orig/Omicron BA.1 or Orig/Omicron BA.4/BA.5)
COMXBB = Pfizer BioNTech - Comirnaty Omicron XBB.1.5
CVAC = Curevac - CVnCOV
HAYATVAC = Julphar- Hayat-Vax
JANSS = Janssen - Jcovden
MOD = Moderna - Spikevax
MODBA.1 = Moderna - Spikevax Bivalent Original/Omicron BA.1
MODBA.4-5 = Moderna - Spikevax Bivalent Original/Omicron BA.4/BA.5
MODBIV = Moderna-Spikevax Bivalent (Original/Omicron BA.1 or Original/Omicron BA.4/BA.5)
MODXBB = Moderna - Spikevax XBB.1.5
NVX = SII – Covovax
NVXD = Novavax – Nuvaxovid
NVXDXBB = Novavax – Nuvaxovid XBB.1.5
OTHER = Other vaccine products
QAZVAQ = RIBSP - QazVac
SGSK = Sanofi GSK - Vidprevtyn
SIICOV = SII - Covishield
SIN = Sinovac - CoronaVac
SPU = Gamaleya - Sputnik-V
SPUL = Gamaleya - Sputnik-Light
SRCVB = SRCVB - EpiVacCorona
TUR = Health Institutes of Turkey - Turkovac
UNK = Unknown
VLA = Valneva – VLA2001
WUCNBG = Wuhan CNBG - Inactivated
ZFUZ = Anhui ZL – Zifivax
Brand/Type of last received COVID-19 vaccination dose.
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Coinfection
Field: Coinfection
Coded value list name: PathogenRESPI
Coding: INFL = Influenza virus
MERS = MERS-CoV
O = Other
RSV = Respiratory syncytial virus
SARSCOV2 = SARS-CoV-2
Viral pathogen detected at the same time point (i.e., in the same specimen or within a 14-day timeframe).
For SARS-CoV-2 and influenza co-infections, the variables Pathogen and Coinfection should be used to
indicate these two pathogens, with VirusVariantCOVID and InfluenzaTypeSubtype used to specify the
SARS-CoV-2 variant and influenza (sub)type/lineage.
Coinfection – Other
Field: CoinfectionOther
Coding: Text
UNK = UnknownSpecified pathogen not captured in the coded values for Coinfection.
Complications
Field: Complications
Coded value list name: ComplicationsRESPI
Coding: AKI = Acute renal injury
ARDS = Acute respiratory distress syndrome
BRONCH = Bronchiolitis
ENCEPH = Encephalitis
HEARTFAIL = Heart failure
MIS-C = Multisystem Inflammatory Syndrome in Children
MULTIFAIL = Multi-organ failure
MYOCARD = Myocarditis
NONE = None
O = Other (please specify separately)
OTHBAC = Other secondary bacterial infection
PNEU = Bacterial pneumonia (secondary)
SEPSIS = Sepsis
STILLBIRTH = Still birth as pregnancy outcome in a case
UNK = Unknown
Complication associated with illness. This variable can be repeated in the event of multiple complications.
Date last received COVID-19 vaccination dose
Field: DateLastVaccDose
Coding: yyyy-mm-dd
UNK= Unknown
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Date last received COVID-19 vaccination dose.
Date of admission to hospital
Field: DateOfHospitalisation
Coding: yyyy-mm-dd
UNK = Unknown
Date of admission to hospital (exact date). If not applicable or unknown, please use 'UNK'.
Date of admission to Intensive Care Unit/High Dependency Unit
Field: DateOfICUHDU
Coding: yyyy-mm-dd
UNK = Unknown
Date of admission to intensive care unit or high dependency unit (exact date). If not applicable, please
use 'UNK'.
Date of death
Field: DateOfDeath
Coding: yyyy-mm-dd
UNK = Unknown
Date of death (exact date). If not applicable, please use 'UNK'.
Date of hospital discharge
Field: DateOfDischarge
Coding: yyyy-mm-dd
UNK = Unknown
Date of discharge from hospital (exact date). If not applicable, please use 'UNK'.
Date of onset of disease
Field: DateOfOnset RSV
Coding: yyyy-mm-dd
UNK = Unknown
Date of onset of symptoms (exact date). If not applicable, please use 'UNK'.
Drug Used for Prophylaxis
Field: DrugUsedProphylaxis
Coded value list name: DrugUsedRESPI
Coding: J05AB16 = Remdesivir
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J05AC02 = Rimantadine
J05AH01 = Zanamivir
J05AH02 = Oseltamivir
J05AX25 = Baloxavir marboxil
N04BB01 = Amantadine
J06BD01 = Palivizumab
J06BD03 = Tixagevimab/cilgavimab (Evusheld)
J06BD07 = Casirivimab/imdevimab (Ronapreve)
O = Other
UNK = Unknown
Antivirals used as prophylaxis in the 14 days before onset of illness. This variable can be repeated in the
event of multiple drugs used.
Drug Used for Treatment
Field: DrugUsedTreatment
Coded value list name: DrugUsedRESPI
Coding: J05AB16 = Remdesivir
J05AC02 = Rimantadine
J05AH01 = Zanamivir
J05AH02 = Oseltamivir
J05AX25 = Baloxavir marboxil
N04BB01 = Amantadine
J05AB18 = Molnupiravir (Lagevrio)
J05AE30 = Nirmatrelvir/ritonavir (Paxlovid)
J06BD03 = Tixagevimab/cilgavimab (Evusheld) = Tixagevimab/cilgavimab (Evusheld)
J06BD05 = Sotrovimab (Xevudy)
J06BD06 = Regdanvimab (Regkirona) J06BD07 = Casirivimab/imdevimab (Ronapreve)
J06BD08 = Nirsevimab (Beyfortus)
J06BD01 = Palivizumab (Synagis)
O = Other
UNK = Unknown
Antivirals used for treatment of the case during illness phase. This variable can be repeated in the event
of multiple drugs used.
Gender
Field: Gender
Coded value list name: Gender
Coding: F = Female
M = Male
O = Other
UNK = Unknown
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Gender of the reported case.
Health care worker
Field: HealthCareWorker
Coded value list name: YesNoUnk
Coding: N = No
UNK = Unknown
Y = Yes
Information on whether the case is a healthcare worker or not.
Hospitalisation
Field: Hospitalisation
Coded value list name: YesNoUnk
Coding: N = No
UNK = Unknown
Y = Yes
Admission to hospital.
Influenza type and subtype
Field: InfluenzaTypeSubtype
Coded value list: InfluenzaTypeSubtype
Coding: A = A, not sub-typed
AH3 = A(H3), not N sub-typed
AH3N2 = A(H3N2)
B = B, lineage not determined
BVic = Influenza type B, Victoria lineage
BYam = Influenza type B, Yamagata lineage
AH1pdm09 = A(H1)pdm09
AH1N1pdm09 = A(H1N1)pdm09
UNK = Unknown
Influenza type, subtype, or lineage to be reported where Influenza is reported for the variables Pathogen
or Coinfection. If a zoonotic virus variant is detected, please report through record types INFLZOO (case-
based data) or INFLZOOAGGR (aggregated).
Influenza vaccinated current season
Field: InfluenzaVaccinated
Coded value list name: YesNoUnk
Coding: N = No
UNK = Unknown
Y = Yes
Received influenza vaccination in the most recent influenza season.
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Intensive care
Field: IntensiveCare
Coded value list name: YesNoUnk
Coding: N = No
UNK = Unknown
Y = Yes
Case required care in an intensive care unit or high dependency unit (unit with capabilities for more
intensive observation, treatment and nursing care than can be provided on a regular ward).
Number of COVID-19 vaccination dose received
Field: NumberOfCovid19VaccDose
Coding: Numeric
Number of COVID-19 vaccination doses received.
Outcome
Field: Outcome
Coded value list name: OutcomeRESPI
Coding: ALIVE = Alive, recovered, cured, discharged from hospital
DIED = Died, as a result of viral respiratory infection
DIEDOTH = Died, other known cause
DIEDUNK = Died, cause of death unknown
STILLTREATMENT = Still on medical treatment related to viral respiratory infection (not
recovered)
UNK = Unknown outcome
Outcome refers to the patient’s vital status resulting from viral respiratory infection (indicated pathogen).
If death occurred due to another disease or reason, ‘DIEDOTHER’ should be reported. If the patient is
still ill at the time of reporting, code the outcome as ‘STILLTREATMENT’. The outcome should be updated
when the patient’s final outcome is known.
Pathogen (mandatory)
Field: Pathogen
Coded value list name: PathogenRESPI
Coding: INFL = Influenza virus
MERS = MERS-CoV
O = Other
RSV = Respiratory syncytial virus
SARSCOV2 = SARS-CoV-2
This variable identifies the primary pathogen identified. If multiple pathogens were identified, please use
the variable Coinfection to specify the second pathogen. For SARS-CoV-2 and influenza co-infections, the
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variables Pathogen and Coinfection should be used to indicate these two pathogens, with
VirusVariantCOVID and InfluenzaTypeSubtype used to specify the SARS-CoV-2 variant and influenza
(sub)type/lineage.
Pathogen - Other
Field: PathogenOther
Coding: Text
UNK = Unknown
Specified pathogen not captured in the coded values for Pathogen.
Place of infection
Field: PlaceOfInfection
Coding: NUTS_GAUL
The probable place of infection should be provided at the NUTS 3 level. If the place of infection is not
an EU/EEA country, then use GAUL nomenclature.
Place of residence
Field: PlaceOfResidence
Coding: NUTS_GAUL
Place of residence of patient at the time of disease onset. Select the most detailed NUTS for EU/EEA
countries. If the residence of the case is not an EU/EEA country, then use GAUL nomenclature.
Precondition
Field: Precondition
Coded value list: Preconditions
Coding: ASPL = Asplenia
ASTH = Asthma
CANC = Cancer, malignancy
CARDIACDIS = Cardiac disorder, excluding hypertension
DIAB = Diabetes
DOWNS = Down's Syndrome
HIV = HIV
HYPERT = Hypertension
IMMUNO = Immune deficiency
KIDNEY = Kidney-related condition, renal disease
LIVER = Liver-related condition, liver disease
LUNG = Chronic lung disease, excluding asthma
NEUROMUS = Neuromuscular disorder, chronic neurological disorder (e.g., dementia,
Parkinson’s disease, Alzheimer’s disease, amyotrophic lateral sclerosis (ALS))
NONE = None
O = Other precondition
OBES = Obesity
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PREG = Pregnancy, trimester is unknown
PREG1 = Pregnancy, 1st trim, the 1st trim is from week 1 to the end of week 12
PREG2 = Pregnancy, 2nd trim, the 2nd trim is from week 13 to the end of week 26
PREG3 = Pregnancy, 3rd trim, the 3rd trim is from week 27 to the end of the pregnancy
PREGPOST = Post-partum (<6 weeks)
PREM = Prematurity
SMOKE = Smoke
TB = Tuberculosis
UNK = Unknown precondition
Patient's underlying condition(s). This variable can be repeated in the event of multiple preconditions.
Primary care case definition
Field: CaseDefinitionPC
Coded value list: CaseDefinitionPCRESPISURV:
Coding: ARI = Acute respiratory infection
ILI = Influenza-like illness
OTH = Other
UNK = Unknown
Case definition used for cases detected through primary care sentinel surveillance.
Primary care case definition - Other
Field: CaseDefinitionPCOther
Coding: Text
UNK = Unknown
Specified case definition not captured in the coded values for Primary Care Case Definition.
Respiratory support
Field: RespSupport
Coded value list: RespSupportNCOV
Coding: ECMO = Extracorporeal membrane oxygenation
N = No
O = Other
OXYGEN = Oxygen therapy
UNK = Unknown
VENT = Ventilator including non-invasive positive pressure vent
Level of respiratory support given to patient.
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RSV type
Field: RSVType
Coded value list name: RSVType
Coding: A = RSV type A
B = RSV type B
UNK = RSV unknown type
RSV type to be reported where RSV is reported for the variable Pathogen.
RSV vaccination status
Field: RSVVaccinated
Coding: N = No
Y = Yes
UNK = Unknown
Received RSV vaccination in the most recent season.
RSV vaccination status (mother)
Field: RSVVaccinatedMother
Coding: N = No
Y = Yes
UNK = Unknown
If infant case, mother received RSV vaccination in the last trimester of pregnancy.
Date of RSV vaccine in the most recent season (if vaccinated)
Field:RSVVacDate
Coding: yyyy-mm-dd (preferred)
yyyy-Www
UNK= Unknown
NA=Not applicable
Date on which the case received the latest RSV vaccine (preferably exact date, formatted as yyyy-mm-
dd).
RSV vaccine product
Field:RSVVacProduct
CodedValueList: [RSVvacProducts]
Coding: Arexvy
Abrysvo
UNK
Other
RSV vaccine product received in the most recent season.
SARS-CoV-2 variant type
Field: VirusVariantCOVID
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Coded value list: VirusVariantNCOV
Coding:
P.1 = P.1 variants (L18F, T20N, P26S, D138Y, R190S, K417T, E484K, N501Y, H655Y, T1027I,
V1176F)
S_GENE_DELETION = Variant virus with deletion in S-gene (defined by mutation: del 69-70
or by negative S-gene RT-PCR)
VARIANT_OTHER = Variants not included in the coded value list, please specify
B.1.525 = B.1.525 (mutations: E484K, D614G, Q677H)
B.1.427/B.1.429 = B.1.427/B.1.429 (mutations: L452R, D614G)
B.1.617.2 = B.1.617.2 (mutations: L452R, T478K, D614G, P681R); B.1.617.2 and all of its
sublineages including AY sublineages
B.1.621 = B.1.621 (mutations: R346K, E484K, N501Y, D614G, P681H)
B.1.351 = B.1.351 (defined by mutations: D80A, D215G, E484K, N501Y, A701V)
B.1.1.7 = B.1.1.7 (mutations: del69-70, del144, N501Y, A570D, D614G, P681H, T716I, S982A,
D1118H)
C.37= C.37 (mutations L452Q, F490S, D614G)
BA.1 = BA.1 or B.1.1.529 with mutations del69-70, ins214EPE, S371L, G496S, T547K
BA.2 = BA.2 or B.1.1.529 with mutations V213G, T376A, R408S
BA.2.75 = BA.2 sub-lineage with mutations D339H, G446S, N460K, and R493Q in the RBD,
and mutations K147E, W152R, F157L, I210V, and G257S in the N-terminal domain of the
Spike protein
BA.2+L452X = BA.2 and any of its sub-lineages with mutations at position 452 of the Spike
protein
BA.3 = BA.3 or B.1.1.529 with mutations del69-70, ORF1a:A3657V, ORF3a:T22V
BA.4 = BA.4 or B.1.1.529 with mutations L452R, F486V, del69-70, NSP7b: L11F, N:P151S,
ORF1a: Δ141-143
BA.5 = BA.5 or B.1.1.529 with mutations L452R, F486V, del69-70
BQ.1 = Pango lineage BQ.1 and sub-lineages
XBB.1.5 = Pango lineage XBB with additional mutation S486P. Mutational proxy: Spike:
Q183E, F486P, F490S
XBB.1.5-like+F456L= XBB.1.5-like lineages (spike mutations Q183E, F486P, F490S) with
additional spike mutation F456L
BA.2.86 = Pango lineage BA.2.86 and sub-lineages
UNK = Sequence information unknown or not available
COVID-19 case with a variant virus of SARS-CoV-2 according to a mutation pattern of specific concern
identified by sequence analysis or by a specific RT-PCR pattern. Each virus should only be reported once,
using the most specific variant available, to avoid double reporting. If several apply, choose the most
specific variant (highest number of matching mutations). The mapping of sublineages published at
https://www.ecdc.europa.eu/sites/default/files/documents/PathogenVariant_public_mappings.csv
should be used to determine how to assign specific sublineages to items in the coded value list above.
Additional information about which specific sublineages have been mapped may optionally be provided
in addition in VirusVariantCOVIDOther. Variants not included in the coded value list and/or which cannot
be mapped to variants in the coded value list should be reported using VARIANT_OTHER with more
details provided in VirusVariantCOVIDOther. If typing results are inconclusive, report UNK.
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SARS-CoV-2 variant type - Other
Field: VirusVariantCOVIDOther
Coding: Text
UNK = Unknown
Specified variant type not captured in the coded values for VirusVariantCOVID variable as indicated in
VARIANT_OTHER response for VirusVariantCOVID variable.
Sequencing category
Field: SequencingCategory
Coded value list: SequencingCategoryRESPISURV
Coding: REPSENTINEL = Representative, based on specimens from sentinel (primary care or SARI)
surveillance
REPNONSENTINEL = Representative, based on a carefully selected subset of non-sentinel
specimens
TARGETED = Targeted
UNK = Unknown
Sequencing category should be completed for samples where variant/subtype/type is known.
Representative can be reported where the intention is to estimate the distribution of circulating
variant/subtype/type in the population, based on samples taken in sentinel sites (REPSENTINEL) and/or
from a carefully selected (representative) subset of non-sentinel specimens (REPNONSENTINEL), where
this is needed to increase the volume of representative sequencing or genotyping to the desired detection
threshold. Targeted sequencing can be reported for unusual events or clinical presentations, travel,
outbreaks, etc.
Refer to https://www.ecdc.europa.eu/en/publications-data/operational-considerations-respiratory-virus-
surveillance-europe for more details.
Surveillance system
Field: SurvSystem
Coded value list: SurvSystem
Coding: NONSTL = Non-sentinel
REG = Registry
STL = Sentinel
UNK = Unknown
Type of surveillance system through which the case was notified.
Laboratory variables
Strain id
Field: StrainID
Coding: Text
UNK = Unknown
The name of the virus - For influenza: [A|B]/[country|region|city]/[number]/[year] (e.g.
A/California/7/2009). For SARS-CoV-2: hCoV-19/[country|region|city]/[number]/[year] (e.g. hCoV-
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19/Sweden/23/2022). For RSV HRSV/[A|B][X]/[state/province/city.country name]/[number]/[year]
(e.g. HRSV/A/Copenhagen.Denmark/54/2022).
NOTE: This variable is used for linking RESPISURV and INFLANTIVIR entries.
Sequence identifier
Field: SequenceId
Coding: Text
UNK = Unknown
Sequence identifier for whole genome or whole or partial gene sequence, based on which the sequence
read data can be retrieved from external database such as GISAID, GenBank or other database (except
ENA). GISAID isolate sequence accession number should be reported in format EPI_ISL_402123,
GenBank MK334047.1. Please report ENAId in EnaId variable.
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SARISURV metadata
SARISURV is used for reporting case-based data on SARI cases.
Common TESSy variables
Record Identifier (mandatory)
Field: RecordId
Coding: Text (max 80 characters)
The record identifier is provided by the Member State. It should be useful for the country to identify
readmission cases, by including a suffix with the date of admission with the format "_yyyymmdd" (for
example, two separate admissions of case 1234 could have as record identifiers 1234_20210101 and
1234_20210115). The complete record identifier must be:
• unique within the SARISURV surveillance system;
• anonymous.
Record type (mandatory)
Field: RecordType
Coding: SARISURV
The record type defines the structure and the format of the data reported. The record types are defined
by ECDC and are related to the subject. Only valid combinations of subject, record type and data source
are accepted.
Record type version
Field: RecordTypeVersion
Coding: Numeric
The version of the record type defines the current structure of the data reported. If no
RecordTypeVersion is provided in the batch, it is set automatically with current version of the Record
type (Table 2). This variable is not mandatory as TESSy concludes the record type version from the
metadata set indicated by default. However, RecordTypeVersion is required when no metadata set is
provided at upload or when a RecordTypeVersion, other than the current one, needs to be used.
Subject (mandatory)
Field: Subject
Coding: SARISURV
The subject describes the disease to be reported.
Status (mandatory)
Field: Status
Coded value list: [Statuses]
Coding: NEW/UPDATE
DELETE
The field ‘Status’ is used for updating data; the default is ‘New/Update’. By choosing ‘Delete’ the
selected record (or batch of data) will remain in TESSy but be marked as inactive; this data can be
used to reconstruct data for a given date in the past.
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Data source (mandatory)
Field: DataSource
Coded value list: [Data sources]
Coding: Pre-assigned as CountryCode-SARISURV to each country; CountryCode-SARISURV-VE if data
collected only in the context of vaccine effectiveness studies (relevant when VE data collection will be
implemented); can be modified by National Focal Point.
The data source specifies the surveillance system from which the data originates and is generated and
revised/updated by the national focal point in each Member State. The descriptions of the surveillance
systems submitted to TESSy (section Data Sources) should include details about case definition used
and should be kept up to date and will be used to assist with data interpretation.
Reporting country (mandatory)
Field: ReportingCountry
Coded value list: [Countries]
Coding: International organization for standardization (ISO) 3166-1-alpha-2, (two-letter code)
This variable identifies the country reporting the case.
Date used for statistics (mandatory)
Field: DateUsedForStatistics
Coding: yyyy-mm-dd (preferred)
yyyy-Www
The reference date used for standard reports that is compared to the reporting period. The date used
for statistics should be date of admission to hospital or diagnosis of respiratory infection (if admitted
by other cause).
Epidemiological variables
Age
Field: Age
Coding: Numerical (0-120)
UNK = Unknown
Age of patient in years as reported in the national system at the time of hospital admission. If child
aged 0 or 1, please provide age in months in the variable AgeMonths (0-23 months). If no precise
age is available, please use the variable AgeGroup.
Age months
Field: AgeMonth
Coding: Numerical (0-23)
UNK = Unknown
Age of patient in months as reported in the national system for cases < 2 years of age at the time of
hospital admission. If the age of the patient is >= 2 years, AgeMonth should be reported as NA.
Age class (alternative)
Field: AgeClass
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Coded value list: [AgeClass3]
Coding: Age00-04 = Less than 5 years of age
Age05-14 = Between 5 and 14 years of age
Age15-29 = Between 15 and 29 years of age
Age30-64 = Between 30 and 64 years of age
Age65-79 = Between 65 and 79 years of age
Age80+ = 80 years and older
UNK = Unknown
Age class of patient as reported in the national system at the time of hospital admission. This is an
alternative variable, to be completed only if "Age" and/or "AgeMonths" not reported.
Gender
Field: Gender
Coded value list: [Gender]
Coding: F = Female
M = Male
O = Other
UNK = Unknown
Gender of the reported case.
Healthcare worker
Field: HealthCareWorker
Coded value list: [YesNoUnk]
Coding: N = No
Y = Yes
UNK = Unknown
The definition of a healthcare worker for the purposes of this reporting protocol is anyone working
(paid or on a regular voluntary basis) in healthcare who has contact with any type of patient during
his/her work, including (but not limited to): doctors; nurses; therapists; technicians; emergency
medical personnel; medical and nursing students with patient contact; porters; and cleaners.
Employees or volunteers at nursing/residential homes for the elderly also are also included as
healthcare workers in this protocol.
Place of residence
Field: PlaceOfResidence
Coded value list: NUTS
Place of residence of patient at the time of hospital admission. Select the most detailed NUTS level
possible. UNK is allowed.
Symptoms / clinical presentation
Date of onset of symptoms
Field: DateOfOnset
Coding: yyyy-mm-dd (preferred)
yyyy-Www
UNK= Unknown
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Date of onset of symptoms.
Fever
Field: FEVER
Coding: N = No
Y = Yes
UNK = Unknown
History of fever or measured fever >=38 ºC within the 10 days before admission to hospital.
Cough
Field: COUGH
Coding: N = No
Y = Yes
UNK = Unknown
History of cough within the 10 days before admission to hospital.
Apnoea
Field: APNOEA
Coding: N = No
Y = Yes
UNK = Unknown
Patient presenting with apnoea.
Sepsis
Field: SEPSIS
Coding: N = No
Y = Yes
UNK = Unknown
Patient presenting with sepsis.
Other symptoms (Repeatable)
Field:OtherSymptoms
Coded value list: SymptomsOtherSARI
Coding: ANOS = Anosmia
AGEUS = Ageusia
DIARR = Diarrhoea
HEAD = Headaches
O = Other
PAINMUSC = Muscular pain
RUNOS = Runny nose
SBREATH = Shortness of breath
SORETHR = Sore throat
VOMIT = Vomiting
GENERALDETER = General deterioration
Other reported symptoms or clinical presentation not previously specified. If multiple other symptoms,
separate by a semicolon (;) within the same field.
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Hospitalisation and outcome
Date of admission to hospital
Field:DateOfHosp
Coding: yyyy-mm-dd (preferred)
Yyyy-Www
UNK= Unknown
Date of admission to hospital.
Admission to Intensive care/high dependency unit
Field: ICUHDU
Coding: N = No
Y = Yes
UNK = UnknownCase required care in an intensive care unit or high dependency unit (unit with
capabilities for more intensive observation, treatment and nursing care than can be provided on a
regular ward).
Date of admission to Intensive Care Unit/High Dependency Unit
Field: DateOfICUHDU
Coding: yyyy-mm-dd (preferred)
Yyyy-Www
UNK= Unknown
Date of admission to intensive care unit or high dependency unit. If admitted more than once to
ICU/HDU, please report the date of first admission to ICU/HDU.
Length of stay in ICU/HDU
Field: NumberDaysICUHDU
Coding: Number
Number of days in ICU or HDU.
Respiratory Support
Field:RespSupport
Coded value list: [RespSupportSARI2]
Coding: NONE = No respiratory support given
OXYGEN = High-flow oxygen therapy (non-invasive ventilation)
VENT = Invasive Ventilation
ECMO = Extra Corporeal Membrane Oxygenation
O = Other respiratory support
UNK = Respiratory support given unknown
Level of respiratory support given to patient. Please indicate the most invasive that applied.
Outcome
Field: Outcome
Coded value list: [OutcomeRESPI]
Coding: ALIVE = Alive, recovered, cured, discharged from hospital
DIED = Died, as a result of viral respiratory infection
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DIEDOTH = Died, other known cause
DIEDUNK = Died, cause of death unknown
STILLTREATMENT = Still on medical treatment related to viral respiratory infection (not
recovered)
UNK = Unknown outcome
Outcome refers to the patient’s vital status resulting from viral respiratory infection (indicated
pathogen). If death occurred due to another disease or reason, ‘DIEDOTHER’ should be reported. If
the patient is still ill at the time of reporting, code the outcome as ‘STILLTREATMENT’. The outcome
should be updated when the patient’s final outcome is known.
Date of outcome
Field: DateOfOutcome
Coding: yyyy-mm-dd (preferred)
Yyyy-Www
UNK= Unknown
Exact date of outcome. If discharged, date of discharge from hospital. If patient still hospitalised or
not applicable, please use 'UNK'.
Preconditions and complications
Precondition (repeatable)
Field: Precondition
Coded value list: Preconditions
Coding: ASPL = Asplenia
ASTH = Asthma
CANC = Cancer, malignancy
CARDIACDIS = Cardiac disorder, excluding hypertension
DIAB = Diabetes
DOWNS = Down's Syndrome
HIV = HIV
HYPERT = Hypertension
IMMUNO = Immune deficiency
KIDNEY = Kidney-related condition, renal disease
LIVER = Liver-related condition, liver disease
LUNG = Chronic lung disease, excluding asthma
NEUROMUS = Neuromuscular disorder, chronic neurological disorder (e.g., dementia,
Parkinson’s disease, Alzheimer’s disease, amyotrophic lateral sclerosis (ALS))
NONE = None
O = Other precondition
OBES = Obesity
PREG = Pregnancy, trimester is unknown
PREG1 = Pregnancy, 1st trim, the 1st trim is from week 1 to the end of week 12
PREG2 = Pregnancy, 2nd trim, the 2nd trim is from week 13 to the end of week 26
PREG3 = Pregnancy, 3rd trim, the 3rd trim is from week 27 to the end of the pregnancy
PREGPOST = Post-partum (<6 weeks)
PREM = Prematurity
SMOKE = Smoke
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TB = Tuberculosis
UNK = Unknown precondition
Patient's underlying condition(s). This variable can be repeated in the event of multiple complications.
Other preconditions
Field: PreconditionOther
Coding: Text
Details of underlying conditions, or additional preconditions not previously specified. If multiple other
preconditions, separate by a semicolon (;) within the same field.
Complications (Repeatable)
Field: Complications
Coded value list name: ComplicationsRESPI
Coding: AKI = Acute renal injury
ARDS = Acute respiratory distress syndrome
BRONCH = Bronchiolitis
ENCEPH = Encephalitis
HEARTFAIL = Heartfailure
MIS-C = Multisystem Inflammatory Syndrome in Children
MULTIFAIL = Multi-organ failure
MYOCARD = Myocarditis
NONE = None
O = Other (please specify separately)
OTHBAC = Other secondary bacterial infection
PNEU = Bacterial pneumonia (secondary)
SEPSIS = Sepsis
STILLBIRTH = Still birth as pregnancy outcome in a case
UNK = Unknown
Complication associated with illness. This variable can be repeated in the event of multiple
complications.
Other clinical presentation or complications
Field: PresentationComplicationOther
Coding: Text
UNK = Unknown
Other clinical presentations or complications not previously specified. If multiple, separate by a
semicolon (;) within the same field.
Diagnosis and laboratory results
Date of specimen collection
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Field: DateOfSpecCollection
Coding: yyyy-mm-dd (preferred)
Yyyy-Www
UNK= Unknown
Date of specimen collection. First date of collection in the current episode if multiple swabs.
Laboratory results for influenza
Field: ResultInfluenza
Coding: N = Negative
NT = Not tested
P = Positive
UNK = Tested but result Unknown
Result for influenza during this SARI admission episode.
Influenza type and subtype
Field: InfluenzaTypeSubtype
Coded value list: InfluenzaTypeSubtype
Coding:
A = A, not sub-typed
AH3 = A(H3), not N sub-typed
AH3N2 = A(H3N2)
B = B, lineage not determined
BVic = Influenza type B, Victoria lineage
BYam = Influenza type B, Yamagata lineage
AH1pdm09 = A(H1)pdm09
AH1N1pdm09 = A(H1N1)pdm09
UNK = Unknown
Influenza virus type and subtype. If not available in the list or specific variants from a subtype, please
describe in the variable "Laboratory results for other pathogens" (see below). If influenza negative or
not tested, please select "NA".
Laboratory results for SARS-CoV-2
Field: ResultSARSCoV2
Coded value list: ResultSARSCoV2
Coding: N = Negative
NT = Not tested
P = Positive
UNDET = Undetermined/inconclusive
UNK = Tested, but result unknown
Laboratory result for SARS-CoV-2 in the current SARI admission episode.
Previous SARS-CoV-2 infection
Field: PreviousNCoV
Coding: N = No
Y = Yes
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UNK = Unknown
Previously infected with SARS-CoV-2.
Date of previous SARS-CoV-2 infection
Field: DateOfPreviousNCoV
Coding: yyyy-mm-dd (preferred)
yyyy-Www
UNK= Unknown
Date of previous SARS-CoV-2 infection. If no exact date available, please provide an estimate.
Laboratory results for MERS-CoV
Field: ResultMERSCoV
Coded value list: [ResultMERSCoV]
Coding: N = Negative
NT = Not tested
P = Positive
UNK = Tested for MERS-CoV, but result unknown
Laboratory results for Middle East respiratory syndrome coronavirus (MERS-CoV) in the current SARI
admission episode.
Laboratory results for RSV
Field: ResultRSV
Coded value list: [ResultRSV]
Coding: N = Negative
NT = Not tested
P = Positive
UNK = Tested for RSV, but result unknown
Result for RSV in the current SARI admission episode.
RSV type
Field: RSVType
Coded value list name: RSVType
Coding: A = RSV type A
B = RSV type B
UNK = RSV unknown type
RSV type to be reported for RSV cases.
Laboratory results for Streptococcus pneumoniae
Field: ResultPneu
Coded value list: [ResultPneu]
Coding: N = Negative
NT = Not tested
P = Positive
UNK = Tested for Streptococcus pneumoniae, but result unknown
Result for Streptococcus pneumoniae in the current SARI admission episode.
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Laboratory results for Legionella pneumophila
Field: ResultLegi
Coded value list: [ResultLegi]
Coding: N = Negative
NT = Not tested
P = Positive
UNK = Tested for Legionella pneumophila, but result unknown
Result for Legionella pneumophila in the current SARI admission episode.
Laboratory results for other pathogens
Field: OtherPathResults
Coding: Text
Laboratory positive results for other pathogens, other influenza subtypes (if coded as ‘other’ but
known) or coronaviruses other than SARS-CoV-2, in the current SARI admission episode.
SARS-CoV-2 Variant
Field: VirusVariantCOVID
Coded value list: [VirusVariantNCOV]
Coding: VirusVariantNCOV:
P.1 = P.1 variants (L18F, T20N, P26S, D138Y, R190S, K417T, E484K, N501Y, H655Y,
T1027I, V1176F)
S_GENE_DELETION = Variant virus with deletion in S-gene (defined by mutation: del 69-70
or by negative S-gene RT-PCR)
VARIANT_OTHER = Variants not included in the coded value list, please specify
B.1.525 = B.1.525 (mutations: E484K, D614G, Q677H)
B.1.427/B.1.429 = B.1.427/B.1.429 (mutations: L452R, D614G)
B.1.617.2 = B.1.617.2 (mutations: L452R, T478K, D614G, P681R); B.1.617.2 and all of its
sublineages including AY sublineages
B.1.621 = B.1.621 (mutations: R346K, E484K, N501Y, D614G, P681H)
B.1.351 = B.1.351 (defined by mutations: D80A, D215G, E484K, N501Y, A701V)
B.1.1.7 = B.1.1.7 (mutations: del69-70, del144, N501Y, A570D, D614G, P681H, T716I,
S982A, D1118H)
C.37= C.37 (mutations L452Q, F490S, D614G)
BA.1 = BA.1 or B.1.1.529 with mutations del69-70, ins214EPE, S371L, G496S, T547K
BA.2 = BA.2 or B.1.1.529 with mutations V213G, T376A, R408S
BA.2.75 = BA.2 sub-lineage with mutations D339H, G446S, N460K, and R493Q in the RBD,
and mutations K147E, W152R, F157L, I210V, and G257S in the N-terminal domain of the
Spike protein
BA.2+L452X = BA.2 and any of its sub-lineages with mutations at position 452 of the Spike
protein
BA.3 = BA.3 or B.1.1.529 with mutations del69-70, ORF1a:A3657V, ORF3a:T22V
BA.4 = BA.4 or B.1.1.529 with mutations L452R, F486V, del69-70, NSP7b: L11F, N:P151S,
ORF1a: Δ141-143
BA.5 = BA.5 or B.1.1.529 with mutations L452R, F486V, del69-70
BQ.1 = Pango lineage BQ.1 and sub-lineages
XBB.1.5 = Pango lineage XBB with additional mutation S486P. Mutational proxy: Spike:
Q183E, F486P, F490S
XBB.1.5-like+F456L = XBB.1.5-like lineages (spike mutations Q183E, F486P, F490S) with
additional spike mutation F456L
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BA.2.86 = Pango lineage BA.2.86 and sub-lineages
UNK = Sequence information unknown or not available
COVID-19 case with a variant virus of SARS-CoV-2 according to a mutation pattern of specific concern
identified by sequence analysis or by a specific RT-PCR pattern. Each virus should only be reported
once, using the most specific variant available, to avoid double reporting. If several apply, choose the
most specific variant (highest number of matching mutations). The mapping of sublineages published
athttps://www.ecdc.europa.eu/sites/default/files/documents/PathogenVariant_public_mappings.csv
should be used to determine how to assign specific sublineages to items in the coded value list above.
Additional information about which specific sublineages have been mapped may optionally be provided
in addition in VirusVariantOtherCOVID. Variants not included in the coded value list and/or which cannot
be mapped to variants in the coded value list should be reported using VARIANT_OTHER with more
details provided in VirusVariantOtherCOVID. If typing results are inconclusive, report UNK.
SARS-CoV-2 other variant
Field: VirusVariantOtherCOVID
Coding: Text
Specified variant type not captured in the coded values for VirusVariantCOVID variable as indicated in
VARIANT_OTHER response for that variable.
Wgs Sequence RA identifier
Field: WgsSequenceId
Coding: Text
Sequence identifier for whole genome or gene sequence, based on which the sequence read data can
be retrieved from external database such as GISAID, GenBank or other database (except ENA). GISAID
isolate sequence accession number should be reported in format EPI_ISL_402123, GenBank
MK334047.1. Please report ENAId in WgsEnaId variable. If multiple pathogens/strains detected, please
separate by a semicolon (;) within the same field.
Vaccination
Number of COVID-19 vaccination doses received
Field: NumberOfCovid19VaccDose
Coding: Numeric
Number of COVID-19 vaccination doses received.
Brand of last received COVID-19 vaccination dose
Field: BrandLastCOVID19Dose
Coded value list name: VaccineCOVID
Coding: AZ = AstraZeneca - Vaxzevria
BECNBG = Beijing CNBG - BBIBP-CorV
BECOV2A = Biological E – Corbeva
BHACOV = Bharat - Covaxin
BIMER = Hipra - Bimervax
CAN = CanSino - Convidecia
CHU = Chumakov - Covi-Vac
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COM = Pfizer BioNTech - Comirnaty
COMBA.1 = Pfizer BioNTech - Comirnaty Original/Omicron BA.1
COMBA.4-5 = Pfizer BioNTech - Comirnaty Original/Omicron BA.4/BA.5
COMBIV = Pfizer BioNTech-Comirnaty Bivalent (Orig/Omicron BA.1 or Orig/Omicron
BA.4/BA.5)
COMXBB = Pfizer BioNTech - Comirnaty Omicron XBB.1.5
CVAC = Curevac - CVnCOV
HAYATVAC = Julphar- Hayat-Vax
JANSS = Janssen - Jcovden
MOD = Moderna - Spikevax
MODBA.1 = Moderna - Spikevax Bivalent Original/Omicron BA.1
MODBA.4-5 = Moderna - Spikevax Bivalent Original/Omicron BA.4/BA.5
MODBIV = Moderna-Spikevax Bivalent (Original/Omicron BA.1 or Original/Omicron
BA.4/BA.5)
MODXBB = Moderna - Spikevax XBB.1.5
NVX = SII – Covovax
NVXD = Novavax – Nuvaxovid
NVXDXBB = Novavax – Nuvaxovid XBB.1.5
OTHER = Other vaccine products
QAZVAQ = RIBSP - QazVac
SGSK = Sanofi GSK - Vidprevtyn
SIICOV = SII - Covishield
SIN = Sinovac - CoronaVac
SPU = Gamaleya - Sputnik-V
SPUL = Gamaleya - Sputnik-Light
SRCVB = SRCVB - EpiVacCorona
TUR = Health Institutes of Turkey - Turkovac
UNK = Unknown
VLA = Valneva – VLA2001
WUCNBG = Wuhan CNBG - Inactivated
ZFUZ = Anhui ZL – Zifivax
Brand/Type of last received COVID-19 vaccination dose.
Date last received COVID-19 vaccination dose
Field: DateLastCOVID19VaccDose
Coding: yyyy-mm-dd
UNK= Unknown
Date of last received COVID-19 vaccination dose.
Influenza vaccination status
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Field: InfluenzaVaccinated
Coding: N = No
Y = Yes
UNK = Unknown
Received influenza vaccination in the most recent influenza season.
Date of influenza vaccine in the most recent season (if vaccinated)
Field:InfluenzaVacDate
Coding: yyyy-mm-dd (preferred)
yyyy-Www
UNK= Unknown
NA=Not applicable
Date on which the case received influenza season (preferably exact date, formatted as yyyy-mm-dd).
Influenza vaccine product
Field:InfluenzaVacProduct
Coding: Text
Type of vaccine received in the most recent season (product name/brand). If unknown, type "Unk".
Influenza vaccination season n-1
Field: InfluenzaVaccinatedPrevSeason
Coding: N = No
Y = Yes
UNK = Unknown
Seasonal influenza vaccination in the previous season (n-1). If the case is being reported during
interseason (w21-w39), consider most recent season-1.
Influenza vaccination season n-2
Field: InfluenzaVaccinatedSecLastSeason
Coding: N = No
Y = Yes
UNK = Unknown
Seasonal influenza vaccination in the season two years before (n-2). If the case is being reported during
interseason (w21-w39), consider most recent season-2.
RSV vaccination status
Field: RSVVaccinated
Coding: N = No
Y = Yes
UNK = Unknown
Received RSV vaccination in the most recent season.
RSV vaccination status (mother)
Field: RSVVaccinatedMother
Coding: N = No
Y = Yes
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UNK = Unknown
If infant case, mother received RSV vaccination in the last trimester of pregnancy.
Date of RSV vaccine in the most recent season (if vaccinated)
Field:RSVVacDate
Coding: yyyy-mm-dd (preferred)
yyyy-Www
UNK= Unknown
NA=Not applicable
Date on which the case received the latest RSV vaccine (preferably exact date, formatted as yyyy-mm-
dd).
RSV vaccine product
Field:RSVVacProduct
CodedValueList: [RSVvacProducts]
Coding: Arexvy
Abrysvo
UNK
Other
RSV vaccine product received in the most recent season.
Pneumococcal vaccination
Field: PneumoVaccinated
Coding: N = No
Y=Yes
UNK = Unknown
Pneumococcal vaccination received (any type, ever).
Year of last PCV10/13 vaccination
Field: YearLastPCV
Coding: yyyy
UNK = Unknown
NA = Never administered
Year of administration of the last PCV10/13 vaccine.
Year of last PPV23 pneumococcal vaccination
Field: YearLastPPV
Coding: yyyy
UNK = Unknown
NA = Never administered
Year of administration of the last PPV23 vaccine.
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Antiviral prophylaxis/therapy
Drug Used for Prophylaxis
Field: DrugUsedProphylaxis
Coded value list name: DrugUsedRESPI
Coding: J05AB16 = Remdesivir
J05AC02 = Rimantadine
J05AH01 = Zanamivir
J05AH02 = Oseltamivir
J05AX25 = Baloxavir marboxil
N04BB01 = Amantadine
J06BD01 = Palivizumab
J06BD03 = Tixagevimab/cilgavimab (Evusheld)
J06BD07 = Casirivimab/imdevimab (Ronapreve)
O = Other
UNK = Unknown
Antivirals used as prophylaxis in the 14 days before onset of illness. This variable can be repeated in
the event of multiple drugs used.
Drug Used for Treatment
Field: DrugUsedTreatment
Coded value list name: DrugUsedRESPI
Coding: J05AB16 = Remdesivir
J05AC02 = Rimantadine
J05AH01 = Zanamivir
J05AH02 = Oseltamivir
J05AX25 = Baloxavir marboxil
N04BB01 = Amantadine
O = Other
UNK = Unknown
J05AB18 = Molnupiravir (Lagevrio)
J05AE30 = Nirmatrelvir/ritonavir (Paxlovid)
J06BD07 = Casirivimab/imdevimab (Ronapreve)
J06BD03 = Tixagevimab/cilgavimab (Evusheld)
J06BD05 = Sotrovimab (Xevudy)
J06BD06 = Regdanvimab (Regkirona)
J06BD08 = Nirsevimab (Beyfortus)
J06BD01 = Palivizumab (Synagis)
Antivirals used for treatment of the case during illness phase. This variable can be repeated in the event
of multiple drugs used.
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Other drugs used for prophylaxis or treatment
Field:DrugsOther
Coding: Text
UNK=Unknown
Other drugs used for prophylaxis or treatment not previously specified. If multiple, separate by a
semicolon (;) within the same field.
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SARISURVDENOM metadata
SARISURVDENOM is used for reporting of weekly denominators for the record type SARISURV
(hospital catchment population and admissions, by age group).
Several options may be used to determine the proportion of the population covered by the selected
sentinel hospitals:
1. If the information on the hospitals’ catchment population is available, it should be
provided directly.
2. If the information on hospitals’ catchment population is not available, it should be
estimated. Two approaches to calculating denominators are provided below.
a. Estimate based on the median weekly number of all-cause hospitalisations in the
previous years: Proportion of patients discharged from the selected hospitals among all
hospitals in the region multiplied by the region population. Catchment population = region
population * (number patients discharged from selected hospitals/number of patients
discharged from all hospitals in region). The catchment population estimation should first
be done for each hospital and estimates from hospitals should be summed up, so that the
estimates apply to the full surveillance system.
b. Estimate based on the number of beds: in an urban area, the catchment population
can be estimated by taking into account the population of the city, the number of hospitals
in the city and the number of beds in a hospital. Coefficients should be attributed to each
hospital in the city depending on their activity estimated by the number of beds. For
example, in a city with 3 hospitals, if hospital A has 50 beds, the coefficient to be applied
will be 0.5, if hospital B has 125 beds, the coefficient will be 1.25 and if hospital C has 75
beds, the coefficient will be 0.75, so:
Catchment population = City population*coefficient (based on the number of beds)/Number of
hospitals in the city.
In this approach, the estimation of population coverage of hospitals should first be done for each
hospital and estimates from hospitals should be summed up, so that the estimates apply to the full
surveillance system.
Common TESSy variables
Record type (mandatory)
Field: RecordType
Coding: SARISURVDENOM
The record type defines the structure and the format of the data reported. The record types are defined
by ECDC and are related to the subject. Only valid combinations of subject, record type and data source
are accepted.
Record type version
Field: RecordTypeVersion
Coding: Numeric
The version of the record type defines the current structure of the data reported. If no
RecordTypeVersion is provided in the batch, it is set automatically with current version of the Record
type (Table 2). This variable is not mandatory as TESSy concludes the record type version from the
metadata set indicated by default. However, RecordTypeVersion is required when no metadata set is
provided at upload or when a RecordTypeVersion, other than the current one, needs to be used.
Subject (mandatory)
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Field: Subject
Coding: SARISURVDENOM
The subject describes the disease to be reported.
Data source (mandatory)
Field: DataSource
Coding: Pre-assigned as CountryCode-SARISURV to each country; can be modified by National Focal
Point.
The data source specifies the surveillance system from which the data originates and is generated and
revised/updated by the national focal point in each Member State. The descriptions of the surveillance
systems submitted to TESSy should be kept up to date and will be used to assist with data
interpretation. The code should be the same as used for SARISURV.
Reporting country (mandatory)
Field: ReportingCountry
Coded values list: [Countries]
Coding: International organization for standardization (ISO) 3166-1-alpha-2, (two-letter code)
This variable identifies the country reporting the case.
Date used for statistics (mandatory)
Field: DateUsedForStatistics
Coding: yyyy-Www
The date used for statistics should match the case-based SARISURV submissions, in order to provide
the denominators needed to calculate rates and proportions.
Denominator variables
Total number of SARI reporting sites
Field: NumSariRepSites
Coding: Numeric
Total number of sites reporting SARI hospitalisations. Should be adjusted according to the number of
hospitals reporting case-based data in the current week. (E.g. if a country has 2 hospitals each with
50,000 catchment population and in week X only 1 hospital reports, please report NumSariRepSites =
1 and the variable TotalDenominator = 50,000 and not 100,000).
Required: True (warning)
Description of SARISURV
Field: DescriptionSARISURV
Coding: Text
Additional information regarding the current week's case-based SARISURV data, not captured by the
variable Data Source.
SARI admissions by age group
Number of hospital SARI admissions age 0-4
Field: NumSariHospitalisationsAge00-04
Coding: Numeric
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Number of hospital SARI admissions in patients aged 0-4 (numerator) in the indicated reporting period.
Number of hospital SARI admissions age 5-14
Field: NumSariHospitalisationsAge05-14
Coding: Numeric
Number of hospital SARI admissions in patients aged 05-14 (numerator) in the indicated reporting
period.
Number of hospital SARI admissions age 15-29
Field: NumSariHospitalisationsAge15-29
Coding: Numeric
Number of hospital SARI admissions in patients aged 15-29 (numerator) in the indicated reporting
period.
Number of hospital SARI admissions age 30-64
Field: NumSariHospitalisationsAge30-64
Coding: Numeric
Number of hospital SARI admissions in patients aged 30-64 (numerator) in the indicated reporting
period.
Number of hospital SARI admissions age 65-79
Field: NumSariHospitalisationsAge65-79
Coding: Numeric
Number of hospital SARI admissions in patients aged 65-79 (numerator) in the indicated reporting
period.
Number of hospital SARI admissions age 80+
Field: NumSariHospitalisationsAge80+
Coding: Numeric
Number of hospital SARI admissions in patients aged 80+ (numerator) in the indicated reporting
period.
Number of hospital SARI admissions age 15-64 (alternative)
Field: NumSariHospitalisationsAge15-64
Coding: Numeric
Number of hospital SARI admissions in patients aged 15-64 (numerator), to submit only if data for the
age groups 15-29 and 30-64 are not available in the indicated reporting period.
Number of hospital SARI admissions age 65+ (alternative)
Field: NumSariHospitalisationsAge65+
Coding: Numeric
Number of hospital SARI admissions in patients aged 65+ (numerator), to submit only if data for the
age groups 65-79 and 80+ are not available in the indicated reporting period.
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Total number of hospital SARI admissions of age unknown
Field: NumSariHospitalisationsAgeUNK
Coding: Numeric
Number of hospital SARI admissions of unknown age in the indicated reporting period. The sum of the
age-specific variables and this variable should be equal to the total number of hospital SARI admissions.
All-cause admissions to hospital by age group
Number of patients aged 0-4 admitted to hospital
Field: HospAdmissionsAge00-04
Coding: Numeric
Number of all-cause hospital admissions in patients aged 0-4 in the indicated reporting period.
Number of patients aged 5-14 admitted to hospital
Field: HospAdmissionsAge05-14
Coding: Numeric
Number of all-cause hospital admissions in patients aged 5-14 in the indicated reporting period.
Number of patients aged 15-29 admitted to hospital
Field: HospAdmissionsAge15-29
Coding: Numeric
Number of all-cause hospital admissions in patients aged 15-29 in the indicated reporting period.
Number of patients aged 30-64 admitted to hospital
Field: HospAdmissionsAge30-64
Coding: Numeric
Number of all-cause hospital admissions in patients aged 30-64 in the indicated reporting period.
Number of patients aged 65-79 admitted to hospital
Field: HospAdmissionsAge65-79
Coding: Numeric
Number of all-cause hospital admissions in patients aged 65-79 in the indicated reporting period.
Number of patients aged 80+ admitted to hospital
Field: HospAdmissionsAge80+
Coding: Numeric
Number of all-cause hospital admissions in patients aged 80+ in the indicated reporting period.
Number of patients aged 15-64 admitted to hospital (alternative)
Field: HospAdmissionsAge15-64
Coding: Numeric
Number of all-cause hospital admissions in patients aged 15-64 in the indicated reporting period.
Alternative, to submit if data for the age groups 15-29 and/or 30-64 are not available.
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Number of patients aged 65+ admitted to hospital (alternative)
Field: HospAdmissionsAge65+
Coding: Numeric
Number of all-cause hospital admissions in patients aged 65+ in the indicated reporting period.
Alternative, to submit if data for the age groups 65-79 and/or 80+ are not available.
Number of patients of unknown age admitted to hospital
Field: HospAdmissionsAgeUNK
Coding: Numeric
Number of hospital admissions of unknown age in the indicated reporting period. The sum of the age-
specific variables and this variable should be equal to the total number of all-cause hospital admissions.
Hospital catchment population by age group
Population aged 0-4 served by the participating hospitals
Field: DenomHospPopulationAge00-04
Coding: Numeric
Population with less than five years of age under surveillance by participating hospitals (catchment
population).
Population aged 5-14 served by the participating hospitals
Field: DenomHospPopulationAge05-14
Coding: Numeric
Population aged 5-14 under surveillance by participating hospitals (catchment population).
Population aged 15-29 served by the participating hospitals
Field: DenomHospPopulationAge15-29
Coding: Numeric
Population aged 15-29 under surveillance by participating hospitals (catchment population).
Population aged 30-64 served by the participating hospitals
Field: DenomHospPopulationAge30-64
Coding: Numeric
Population aged 30-64 under surveillance by participating hospitals (catchment population).
Population aged 65-79 served by the participating hospitals
Field: DenomHospPopulationAge65-79
Coding: Numeric
Population aged 65-79 under surveillance by participating hospitals (catchment population).
Population aged 80+ served by the participating hospitals
Field: DenomHospPopulationAge80+
Coding: Numeric
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Population aged 80+ under surveillance by participating hospitals (catchment population).
Population aged 15-64 served by the participating hospitals (alternative)
Field: DenomHospPopulationAge15-64
Coding: Numeric
Population aged 15-64 under surveillance by participating hospitals (catchment population). Alternative,
to submit if data for the age groups 15-29 and/or 30-64 are not available.
Population aged 65+ served by the participating hospitals (alternative)
Field: DenomHospPopulationAge65+
Coding: Numeric
Population aged 65+ under surveillance by participating hospitals (catchment population). Alternative,
to submit if data for the age groups 65-79 and/or 80+ are not available.
Population of age unknown served by the participating hospitals
Field: DenomHospPopulationAgeUNK
Coding: Numeric
Population of age unknown under surveillance by participating hospitals (catchment population). The
sum of the age-specific variables and this variable should be equal to the total hospital catchment
population.
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INFLSARIAGGR metadata
INFLSARIAGGR is used for reporting of aggregated data on SARI cases and underlying population
denominators for calculation of total and age-specific notification rates and proportions. Aggregated
data should be reported weekly.
The epidemiological variables to collect include:
• All-cause hospital admissions, by age group (denominator);
• Hospital catchment population, by age group (denominator);
• SARI hospitalisations, by age group (numerator);
• SARI hospitalisation deaths, by age group (numerator);
• SARI admissions to intensive care, by age group (numerator);
• SARI specimens tested for influenza, respiratory syncytial virus (RSV) and SARS-CoV-2, by age
group (denominator);
• SARI specimens positive for influenza, RSV and SARS-CoV-2, by age group (numerator);
• SARI specimens positive for influenza by virus (sub)type and lineage (numerator).
Common TESSy variables
Record type (mandatory)
Field: RecordType
Coding: INFLSARIAGGR
The record type defines the structure and the format of the data reported. The record types are defined
by ECDC and are related to the subject. Only valid combinations of subject, record type and data source
are accepted.
Record type version
Field: RecordTypeVersion
Coding: Numeric
The version of the record type defines the current structure of the data reported. If no
RecordTypeVersion is provided in the batch, it is set automatically with current version of the Record
type (Table 2). This variable is not mandatory as TESSy concludes the record type version from the metadata set indicated by default. However, RecordTypeVersion is required when no metadata set is
provided at upload or when a RecordTypeVersion, other than the current one, needs to be used.
Subject (mandatory)
Field: Subject
Coding: INFLSARI
The subject describes the disease to be reported.
Data source (mandatory)
Field: DataSource
Coding: Pre-assigned as CountryCode-INFLSARIAGGR to each country; can be modified by National
Coordinator; countries reporting aggregated data through the new SARI surveillance stream
should change data source to "CountryCode-SARISURVAGGR"
The data source specifies the surveillance system from which the data originate and is generated and
revised/updated by the national focal point in each Member State. The descriptions of the surveillance
systems submitted to TESSy (section Data Sources) should include details about case definition used
and should be kept up to date and will be used to assist with data interpretation. If country is reporting
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cases that do not follow strict WHO case definition (see Definitions), that should be stated in
DataSource.
Reporting country (mandatory)
Field: ReportingCountry
Coded value list: [Countries]
Coding: International organization for standardization (ISO) 3166-1-alpha-2, (two-letter code)
This variable identifies the country reporting the aggregate dataset.
Date used for statistics (mandatory)
Field: DateUsedForStatistics
Coding: yyyy-Www
The reference date used for standard reports that is compared to the reporting period. The date used
for statistics should be preferably the week of admission to hospital, but can be any date that the
reporting country finds applicable, e.g. date of admission, date of notification, date of diagnosis or any
other date.
Epidemiological variables
Total number of SARI reporting sites
Field: NumSariRepSites
Coding: Numeric
Total number of sites reporting SARI hospitalisations. Should be adjusted according to the number of
hospitals reporting. (E.g. if a country has 2 hospitals each with 50,000 catchment population and in
week X only 1 hospital reports, please report NumSariRepSites = 1 and the denominator to be 50,000
and not 100,000)
Required: True (warning)
Reporting fraction (alternative)
Field: ReportingFraction
Coding: Numeric (decimal)
Proportion of SARI admissions at the participating hospitals that are reported in the current week. This
is an alternative variable, to account for the fact that some hospitals might report only a fraction of the
SARI cases (eg. Only cases admitted on two specific days of the week). Catchment population and all-
cause admissions should not be adjusted for this reporting fraction (e.g. if a hospital has a catchment
population of 50,000, the reported catchment population should be 50,000, even if SARI admissions
reported cover only specific days of the week).
Description of SARI system
Field: DescriptionSARI
Coding: Text
Description of SARI surveillance system.
SARI admissions by age group
Number of hospital SARI admissions age 0-4
Field: NumSariHospitalisationsAge00-04STL
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Coding: Numeric
Number of hospital SARI admissions in patients aged 0-4 (numerator).
Number of hospital SARI admissions age 5-14
Field: NumSariHospitalisationsAge05-14STL
Coding: Numeric
Number of hospital SARI admissions in patients aged 05-14 (numerator).
Number of hospital SARI admissions age 15-29
Field: NumSariHospitalisationsAge15-29STL
Coding: Numeric
Number of hospital SARI admissions in patients aged 15-29 (numerator).
Number of hospital SARI admissions age 30-64
Field: NumSariHospitalisationsAge30-64STL
Coding: Numeric
Number of hospital SARI admissions in patients aged 30-64 (numerator).
Number of hospital SARI admissions age 65-79
Field: NumSariHospitalisationsAge65-79STL
Coding: Numeric
Number of hospital SARI admissions in patients aged 65-79 (numerator).
Number of hospital SARI admissions age 80+
Field: NumSariHospitalisationsAge80+STL
Coding: Numeric
Number of hospital SARI admissions in patients aged 80+ (numerator).
Number of hospital SARI admissions age 15-64 (alternative)
Field: NumSariHospitalisationsAge15-64STL
Coding: Numeric
Number of hospital SARI admissions in patients aged 15-64 (numerator), to submit if data for the age
groups 15-29 and 30-64 are not available.
Number of hospital SARI admissions age 65+ (alternative)
Field: NumSariHospitalisationsAge65+STL
Coding: Numeric
Number of hospital SARI admissions in patients aged 65+ (numerator), to submit if data for the age
groups 65-79 and 80+ are not available.
Number of hospital SARI admissions with unknown age
Field: NumSariHospitalisationsAgeUnkSTL
Coding: Numeric
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Number of hospital SARI admissions in patients with unknown age (numerator). The sum of the age-
specific variables and this variable should be equal to the total number of hospital SARI admissions.
SARI admissions to ICU/HDU by age group
Number of hospital SARI admissions to ICU/HDU age 0-4
Field: NumSariICUadmissionsAge00-04
Coding: Numeric
Number of hospital SARI admissions to Intensive Care/High Dependency Care Units in patients aged 0-
4 (numerator).
Number of hospital SARI admissions to ICU/HDU age 5-14
Field: NumSariICUadmissionsAge05-14
Coding: Numeric
Number of hospital SARI admissions to Intensive Care/High Dependency Care Units in patients aged
05-14 (numerator).
Number of hospital SARI admissions to ICU/HDU age 15-29
Field: NumSariICUadmissionsAge15-29
Coding:Numeric
Number of hospital SARI admissions to Intensive Care/High Dependency Care Units in patients aged
15-29 (numerator).
Number of hospital SARI admissions to ICU/HDU age 30-64
Field: NumSariICUadmissionsAge30-64
Coding: Numeric
Number of hospital SARI admissions to Intensive Care/High Dependency Care Units in patients aged
30-64 (numerator).
Number of hospital SARI admissions to ICU/HDU age 65-79
Field: NumSariICUadmissionsAge65-79
Coding: Numeric
Number of hospital SARI admissions to Intensive Care/High Dependency Care Units in patients aged
65-79 (numerator).
Number of hospital SARI admissions to ICU/HDU age 80+
Field: NumSariICUadmissionsAge80+
Coding: Numeric
Number of hospital SARI admissions to Intensive Care/High Dependency Care Units in patients aged
80+ (numerator).
Number of hospital SARI admissions to ICU/HDU age 15-64 (Alternative)
Field: NumSariICUadmissionsAge15-64
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Coding: Numeric
Number of hospital SARI admissions to Intensive Care/High Dependency Care Units in patients aged
15-64 (numerator), to submit if data for the age groups 15-29 and 30-64 are not available.
Number of hospital SARI admissions to ICU/HDU age 65+ (Alternative)
Field: NumSariICUadmissionsAge65+
Coding: Numeric
Number of hospital SARI admissions to Intensive Care/High Dependency Care Units in patients aged
65+ (numerator), to submit if data for the age groups 65-79 and 80+ are not available.
Number of hospital SARI admissions to ICU/HDU age unknown
Field: NumSariICUadmissionsAgeUnk
Coding: Numeric
Total number of hospital SARI admissions to ICU/HDU in patients of age unknown (numerator).
The sum of the age-specific variables and this variable should be equal to the total number of hospital
SARI admissions to ICU/HDU.
SARI deaths by age group
Number of hospital SARI deaths aged 0-4
Field: NumSariDeathsAge00-04STL
Coding: Numeric
Total hospital SARI admissions that resulted in death in patients aged 0-4 (numerator).
Number of hospital SARI deaths aged 5-14
Field: NumSariDeathsAge05-14STL
Coding: Numeric
Total hospital SARI admissions that resulted in death in patients aged 05-14 (numerator).
Number of hospital SARI deaths aged 15-29
Field: NumSariDeathsAge15-29STL
Coding: Numeric
Total hospital SARI admissions that resulted in death in patients aged 15-29 (numerator).
Number of hospital SARI deaths aged 30-64
Field: NumSariDeathsAge30-64STL
Coding: Numeric
Total hospital SARI admissions that resulted in death in patients aged 30-64 (numerator).
Number of hospital SARI deaths aged 65-79
Field: NumSariDeathsAge65-79STL
Coding: Numeric
Total hospital SARI admissions that resulted in death in patients aged 65-79 (numerator).
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Number of hospital SARI deaths aged 80+
Field: NumSariDeathsAge80+STL
Coding: Numeric
Total hospital SARI admissions that resulted in death in patients aged 80+ (numerator).
Number of hospital SARI deaths aged 15-64 (Alternative)
Field: NumSariDeathsAge15-64STL
Coding: Numeric
Total hospital SARI admissions that resulted in death in patients aged 15-64 (numerator), to submit
only if data for the age groups 15-29 and 30-64 are not available.
Number of hospital SARI deaths aged 65+ (Alternative)
Field: NumSariDeathsAge65+STL
Coding: Numeric
Total hospital SARI admissions that resulted in death in patients aged 65+ (numerator), to submit only
if data for the age groups 65-79 and 80+ are not available.
Number of hospital SARI deaths unknown age
Field: NumSariDeathsAgeUnkSTL
Coding: Numeric
Number of SARI deaths in patients of unknown age (numerator). The sum of the age-specific variables
and this variable should be equal to the total number of hospital SARI deaths.
Hospital admission denominators by age group
Number of hospital admissions age 0-4
Field: DenomHospAdmissionsAge00-04STL
Coding: Numeric
Number of hospital admissions (all causes) in patients aged 0-4 (denominator).
Number of hospital admissions age 5-14
Field: DenomHospAdmissionsAge05-14STL
Coding: Numeric
Number of hospital admissions (all causes) in patients aged 5-14 (denominator).
Number of hospital admissions age 15-29
Field: DenomHospAdmissionsAge15-29STL
Coding: Numeric
Number of hospital admissions (all causes) in patients aged 15-29 (denominator).
Number of hospital admissions age 30-64
Field: DenomHospAdmissionsAge30-64STL
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Coding: Numeric
Number of hospital admissions (all causes) in patients aged 30-64 (denominator).
Number of hospital admissions age 65-79
Field: DenomHospAdmissionsAge65-79STL
Coding: Numeric
Number of hospital admissions (all causes) in patients aged 65-79 (denominator).
Number of hospital admissions age 80+
Field: DenomHospAdmissionsAge80+STL
Coding: Numeric
Number of hospital admissions (all causes) in patients aged 80+ (denominator).
Number of hospital admissions age 15-64 (Alternative)
Field: DenomHospAdmissionsAge15-64STL
Coding: Numeric
Number of hospital admissions (all causes) in patients aged 15-64 (denominator), to submit if data for
the age groups 15-29 and 30-64 are not available.
Number of hospital admissions age 65+ (Alternative)
Field: DenomHospAdmissionsAge65+STL
Coding: Numeric
Number of hospital admissions (all causes) in patients aged 65+ (denominator), to submit if data for
the age groups 65-79 and 80+ are not available.
Number of hospital admissions age unknown
Field: DenomHospAdmissionsUnkSTL
Coding: Numeric
Number of hospital admissions (all causes) in patients of unknown age (denominator). The sum of the
age-specific variables and this variable should be equal to the total hospital admissions (denominator).
Catchment population denominators by age group
Population aged 0-4 covered by the hospitals submitting SARI data
Field: DenomHospPopulationAge00-04STL
Coding: Numeric
Population aged 0-4 covered by the hospitals submitting aggregated SARI data (denominator).
Population aged 5-14 covered by the hospitals submitting SARI data
Field: DenomHospPopulationAge05-14STL
Coding: Numeric
Population aged 5-14 covered by the hospitals submitting aggregated SARI data (denominator).
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Population aged 15-29 covered by the hospitals submitting SARI data
Field: DenomHospPopulationAge15-29STL
Coding: Numeric
Population aged 15-29 covered by the hospitals submitting aggregated SARI data (denominator).
Population aged 30-64 covered by the hospitals submitting SARI data
Field: DenomHospPopulationAge30-64STL
Coding: Numeric
Population aged 30-64 covered by the hospitals submitting aggregated SARI data (denominator).
Population aged 65-79 covered by the hospitals submitting SARI data
Field: DenomHospPopulationAge65-79STL
Coding: Numeric
Population aged 65-79 covered by the hospitals submitting aggregated SARI data (denominator).
Population aged 80+ covered by the hospitals submitting SARI data
Field: DenomHospPopulationAge80+STL
Coding: Numeric
Population aged 80+ covered by the hospitals submitting aggregated SARI data (denominator).
Population aged 15-64 covered by the hospitals submitting data (alternative)
Field: DenomHospPopulationAge15-64STL
Coding: Numeric
Population aged 15-64 covered by the hospitals submitting aggregated SARI data (denominator), to
submit if data for the age groups 15-29 and 30-64 are not available.
Population aged 65+ covered by the hospitals submitting data (alternative)
Field: DenomHospPopulationAge65+STL
Coding: Numeric
Population aged 65+ covered by the hospitals submitting aggregated SARI data (denominator), to
submit if data for the age groups 65-79 and 80+ are not available.
Population of unknown age covered by the hospitals submitting data
Field: DenomHospPopulationUnkSTL
Coding: Numeric
Population of unknown age covered by the hospitals submitting aggregated SARI data (denominator).
The sum of the age-specific variables and this variable should be equal to the total hospital population
(denominator).
Specimens tested for influenza
Number of SARI specimens tested for influenza age 0-4
Field: NumSpecimensTestedFluAge00-04
Coding: Numeric
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Number of SARI specimens tested for influenza from patients aged 0-4.
Number of SARI specimens tested for influenza age 5-14
Field: NumSpecimensTestedFluAge05-14
Coding: Numeric
Number of SARI specimens tested for influenza from patients aged 5-14.
Number of SARI specimens tested for influenza age 15-29
Field: NumSpecimensTestedFluAge15-29
Coding: Numeric
Number of SARI specimens tested for influenza from patients aged 15-29.
Number of SARI specimens tested for influenza age 30-64
Field: NumSpecimensTestedFluAge30-64
Coding: Numeric
Number of SARI specimens tested for influenza from patients aged 30-64.
Number of SARI specimens tested for influenza age 65-79
Field: NumSpecimensTestedFluAge65-79
Coding: Numeric
Number of SARI specimens tested for influenza from patients aged 65-79.
Number of SARI specimens tested for influenza age 80+
Field: NumSpecimensTestedFluAge80+
Coding: Numeric
Number of SARI specimens tested for influenza from patients aged 80+.
Number of SARI specimens tested for influenza age 15-64 (Alternative)
Field: NumSpecimensTestedFluAge15-64
Coding: Numeric
Number of SARI specimens tested for influenza from patients aged 15-64, to submit if data for the age
groups 15-29 and 30-64 are not available.
Number of SARI specimens tested for influenza age 65+ (Alternative)
Field: NumSpecimensTestedFluAge65+
Coding: Numeric
Number of SARI specimens tested for influenza from patients aged 65+, to submit if data for the age
groups 65-79 and 80+ are not available.
Number of SARI specimens tested for influenza age unknown
Field: NumSpecimensTestedFluAgeUnk
Coding: Numeric
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Number of SARI specimens tested for influenza from patients of unknown age. The sum of the age-
specific variables and this variable should be equal to the total number of SARI specimens tested for
influenza.
Specimens positive for influenza
Number of SARI specimens positive for influenza age 0-4
Field: NumSpecimensFluDetectAge00-04
Coding: Numeric
Number of SARI specimens positive for influenza from patients aged 0-4.
Number of SARI specimens positive for influenza age 5-14
Field: NumSpecimensFluDetectAge05-14
Coding: Numeric
Number of SARI specimens positive for influenza from patients aged 5-14.
Number of SARI specimens positive for influenza age 15-29
Field: NumSpecimensFluDetectAge15-29
Coding: Numeric
Number of SARI specimens positive for influenza from patients aged 15-29.
Number of SARI specimens positive for influenza age 30-64
Field: NumSpecimensFluDetectAge30-64
Coding: Numeric
Number of SARI specimens positive for influenza from patients aged 30-64.
Number of SARI specimens positive for influenza age 65-79
Field: NumSpecimensFluDetectAge65-79
Coding: Numeric
Number of SARI specimens positive for influenza from patients aged 65-79.
Number of SARI specimens positive for influenza age 80+
Field: NumSpecimensFluDetectAge80+
Coding: Numeric
Number of SARI specimens positive for influenza from patients aged 80+.
Number of SARI specimens positive for influenza age 15-64 (Alternative)
Field: NumSpecimensFluDetectAge15-64
Coding: Numeric
Number of SARI specimens positive for influenza from patients aged 15-64, to submit if data for the
age groups 15-29 and 30-64 are not available.
Number of SARI specimens positive for influenza age 65+ (Alternative)
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Field: NumSpecimensFluDetectAge65+
Coding: Numeric
Number of SARI specimens positive for influenza from patients aged 65+, to submit if data for the age
groups 65-79 and 80+ are not available.
Number of SARI specimens positive for influenza age unknown
Field: NumSpecimensFluDetectAgeUnk
Coding: Numeric
Number of SARI specimens positive for influenza from patients of unknown age. The sum of the age-
specific variables and this variable should be equal to the total number of SARI specimens positive for
influenza.
Number of SARI specimens positive for influenza A not subtyped
Field: NumSpecimensAUnkDetectSARI
Coding: Numeric
Number of SARI specimens positive for influenza A (not subtyped).
Number of SARI specimens positive for influenza A(H1)pdm09 not N subtyped
Field: NumSpecimensAH1pdm09DetectSARI
Coding: Numeric
Number of SARI specimens positive for influenza A(H1)pdm09.
Number of SARI specimens positive for influenza A(H1N1)pdm09
Field: NumSpecimensAH1N1pdm09DetectSARI
Coding: Numeric
Number of SARI specimens positive for influenza A(H1N1)pdm09.
Number of SARI specimens positive for influenza A(H3) not N subtyped
Field: NumSpecimensAH3DetectSARI
Coding: Numeric
Number of SARI specimens positive for influenza A(H3) (not N subtyped).
Number of SARI specimens positive for influenza A(H3N2)
Field: NumSpecimensAH3N2DetectSARI
Coding: Numeric
Number of SARI specimens positive for influenza A(H3N2).
Number of SARI specimens positive for influenza B (no lineage determined)
Field: NumSpecimensBDetectSARI
Coding: Numeric
Number of SARI specimens positive for influenza type B without lineage determination.
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Number of SARI specimens positive for influenza B Victoria
Field: NumSpecimensBVICDetectSARI
Coding: Numeric
Number of SARI specimens positive for influenza B/Victoria.
Number of SARI specimens positive for influenza B Yamagata
Field: NumSpecimensBYAMDetectSARI
Coding: Numeric
Number of SARI specimens positive for influenza B/Yamagata.
Specimens tested for SARS-CoV-2
Number of SARI specimens tested for SARS-CoV-2 age 0-4
Field: SARITestedSARSCoV2Age00-04
Coding: Numeric
Number of tests for SARS-CoV-2 in hospitalised SARI patients aged 0-4.
Number of SARI specimens tested for SARS-CoV-2 age 5-14
Field: SARITestedSARSCoV2Age05-14
Coding: Numeric
Number of tests for SARS-CoV-2 in hospitalised SARI patients aged 5-14.
Number of SARI specimens tested for SARS-CoV-2 age 15-29
Field: SARITestedSARSCoV2Age15-29
Coding: Numeric
Number of tests for SARS-CoV-2 in hospitalised SARI patients aged 15-29.
Number of SARI specimens tested for SARS-CoV-2 age 30-64
Field: SARITestedSARSCoV2Age30-64
Coding: Numeric
Number of tests for SARS-CoV-2 in hospitalised SARI patients aged 30-64.
Number of SARI specimens tested for SARS-CoV-2 age 65-79
Field: SARITestedSARSCoV2Age65-79
Coding: Numeric
Number of tests for SARS-CoV-2 in hospitalised SARI patients aged 65-79.
Number of SARI specimens tested for SARS-CoV-2 age 80+
Field: SARITestedSARSCoV2Age80+
Coding: Numeric
Number of tests for SARS-CoV-2 in hospitalised SARI patients aged 80+.
Number of SARI specimens tested for SARS-CoV-2 age 15-64 (Alternative)
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Field: SARITestedSARSCoV2Age15-64
Coding: Numeric
Number of tests for SARS-CoV-2 in hospitalised SARI patients aged 15-64, to submit if data for the age
groups 15-29 and 30-64 are not available.
Number of SARI specimens tested for SARS-CoV-2 age 65+ (Alternative)
Field: SARITestedSARSCoV2Age65+
Coding: Numeric
Number of tests for SARS-CoV-2 in hospitalised SARI patients aged 65+, to submit if data for the age
groups 65-79 and 80+ are not available.
Number of SARI specimens tested for SARS-CoV-2 age unknown
Field: SARITestedSARSCoV2AgeUnk
Coding: Numeric
Number of tests for SARS-CoV-2 in hospitalised SARI patients with unknown age. The sum of the age-
specific variables and this variable should be equal to the total number of SARI specimens tested for
SARS-CoV-2.
Specimens positive for SARS-CoV-2
Number of SARI specimens positive for SARS-CoV-2 aged 0-4
Field: NumSpecimensSARSCoV2DetectSARIAge00-04
Coding: Numeric
Number of SARI specimens positive for SARS-CoV-2 in patients aged 0-4.
Number of SARI specimens positive for SARS-CoV-2 aged 5-14
Field: NumSpecimensSARSCoV2DetectSARIAge05-14
Coding: Numeric
Number of SARI specimens positive for SARS-CoV-2 in patients aged 5-14.
Number of SARI specimens positive for SARS-CoV-2 aged 15-29
Field: NumSpecimensSARSCoV2DetectSARIAge15-29
Coding: Numeric
Number of SARI specimens positive for SARS-CoV-2 in patients aged 15-29.
Number of SARI specimens positive for SARS-CoV-2 aged 30-64
Field: NumSpecimensSARSCoV2DetectSARIAge30-64
Coding: Numeric
Number of SARI specimens positive for SARS-CoV-2 in patients aged 30-64.
Number of SARI specimens positive for SARS-CoV-2 age 65-79
Field: NumSpecimensSARSCoV2DetectSARIAge65-79
Coding: Numeric
Number of SARI specimens positive for SARS-CoV-2 in patients aged 65-79.
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Number of SARI specimens positive for SARS-CoV-2 age 80+
Field: NumSpecimensSARSCoV2DetectSARIAge80+
Coding: Numeric
Number of SARI specimens positive for SARS-CoV-2 in patients aged 80+.
Number of SARI specimens positive for SARS-CoV-2 age 15-64 (Alternative)
Field: NumSpecimensSARSCoV2DetectSARIAge15-64
Coding: Numeric
Number of SARI specimens positive for SARS-CoV-2 in patients aged 15-64, to submit if data for the
age groups 15-29 and 30-64 are not available.
Number of SARI specimens positive for SARS-CoV-2 age 65+ (Alternative)
Field: NumSpecimensSARSCoV2DetectSARIAge65+
Coding: Numeric
Number of SARI specimens positive for SARS-CoV-2 in patients aged 65+, to submit if data for the age
groups 65-79 and 80+ are not available.
Number of SARI specimens positive for SARS-CoV-2 age unknown
Field: NumSpecimensSARSCoV2DetectSARIAgeUnk
Coding: Numeric
Number of SARI specimens positive for SARS-CoV-2 in patients with unknown age. The sum of the age-
specific variables and this variable should be equal to the total number of SARI specimens positive for
SARS-CoV-2.
Specimens tested for MERS-CoV
Number of SARI specimens tested for MERS-CoV
Field: NumSpecimensTestedMERS
Coding: Numeric
Number of SARI specimens tested for MERS-CoV.
Specimens positive for MERS-CoV
Number of SARI specimens positive for MERS-CoV
Field: NumSpecimensMERSDetectSARI
Coding: Numeric
Total number of SARI specimens positive for MERS-CoV.
Specimens tested for RSV
Number of SARI specimens tested for RSV age 0-4
Field: NumSpecimensTestedRSVAge00-04
Coding: Numeric
Number of SARI specimens tested for RSV from patients aged 0-4.
Number of SARI specimens tested for RSV age 5-14
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Field: NumSpecimensTestedRSVAge05-14
Coding: Numeric
Number of SARI specimens tested for RSV from patients aged 5-14.
Number of SARI specimens tested for RSV age 15-29
Field: NumSpecimensTestedRSVAge15-29
Coding: Numeric
Number of SARI specimens tested for RSV from patients aged 15-29.
Number of SARI specimens tested for RSV age 30-64
Field: NumSpecimensTestedRSVAge30-64
Coding: Numeric
Number of SARI specimens tested for RSV from patients aged 30-64.
Number of SARI specimens tested for RSV age 65-79
Field: NumSpecimensTestedRSVAge65-79
Coding: Numeric
Number of SARI specimens tested for RSV from patients aged 65-79.
Number of SARI specimens tested for RSV age 80+
Field: NumSpecimensTestedRSVAge80+
Coding: Numeric
Number of SARI specimens tested for RSV from patients aged 80+.
Number of SARI specimens tested for RSV age 15-64 (Alternative)
Field: NumSpecimensTestedRSVAge15-64
Coding: Numeric
Number of SARI specimens tested for RSV from patients aged 15-64, to submit if data for the age
groups 15-29 and 30-64 are not available.
Number of SARI specimens tested for RSV age 65+ (Alternative)
Field: NumSpecimensTestedRSVAge65+
Coding: Numeric
Number of SARI specimens tested for RSV from patients aged 65+, to submit if data for the age groups
65-79 and 80+ are not available.
Number of SARI specimens tested for RSV age unknown
Field: NumSpecimensTestedRSVAgeUnk
Coding: Numeric
Number of SARI specimens tested for RSV from patients aged unknown. The sum of the age-specific
variables and this variable should be equal to the total number of SARI specimens tested for RSV.
Specimens positive for RSV
Number of SARI specimens positive for RSV age 0-4
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Field: NumSpecimensRSVDetectAge00-04
Coding: Numeric
Number of SARI specimens positive for RSV from patients aged 0-4.
Number of SARI specimens positive for RSV age 5-14
Field: NumSpecimensRSVDetectAge05-14
Coding: Numeric
Number of SARI specimens positive for RSV from patients aged 5-14.
Number of SARI specimens positive for RSV age 15-29
Field: NumSpecimensRSVDetectAge15-29
Coding: Numeric
Number of SARI specimens positive for RSV from patients aged 15-29.
Number of SARI specimens positive for RSV age 30-64
Field: NumSpecimensRSVDetectAge30-64
Coding: Numeric
Number of SARI specimens positive for RSV from patients aged 30-64.
Number of SARI specimens positive for RSV age 65-79
Field: NumSpecimensRSVDetectAge65-79
Coding: Numeric
Number of SARI specimens positive for RSV from patients aged 65-79.
Number of SARI specimens positive for RSV age 80+
Field: NumSpecimensRSVDetectAge80+
Coding: Numeric
Number of SARI specimens positive for RSV from patients aged 80+.
Number of SARI specimens positive for RSV age 15-64 (Alternative)
Field: NumSpecimensRSVDetectAge15-64
Coding: Numeric
Number of SARI specimens positive for RSV from patients aged 15-64, to submit if data for the age
groups 15-29 and 30-64 are not available.
Number of SARI specimens positive for RSV age 65+ (Alternative)
Field: NumSpecimensRSVDetectAge65+
Coding: Numeric
Number of SARI specimens positive for RSV from patients aged 65+, to submit if data for the age
groups 65-79 and 80+ are not available.
Number of SARI specimens positive for RSV age unknown
Field: NumSpecimensRSVDetectAgeUnk
Coding: Numeric
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Number of SARI specimens positive for RSV from patients with age unknown. The sum of the age-
specific variables and this variable should be equal to the total number of SARI specimens positive for
RSV.
Number of SARI specimens positive for RSV type A (all ages)
Field: NumSpecimensRSVTypeA
Coding: Numeric
Number of SARI specimens positive for RSV type A.
Number of SARI specimens positive for RSV type B (all ages)
Field: NumSpecimensRSVTypeB
Coding: Numeric
Number of SARI specimens positive for RSV type B.
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INFLCLINAGGR metadata
Common TESSy variables
Record type (mandatory)
Field: RecordType
Coding: INFLCLINAGGR
The record type defines the structure and the format of the data reported. The record types are defined
by ECDC and are related to the subject. Only valid combinations of subject, record type and data source
are accepted.
Record type version
Field: RecordTypeVersion
Coding: Numeric
The version of the record type defines the current structure of the data reported. If no
RecordTypeVersion is provided in the batch, it is set automatically with current version of the Record
type (Table 2). This variable is not mandatory as TESSy concludes the record type version from the
metadata set indicated by default. However, RecordTypeVersion is required when no metadata set is
provided at upload or when a RecordTypeVersion, other than the current one, needs to be used.
Subject (mandatory)
Field: Subject
Coding: INFLCLIN
Subject of the data reported.
Data source (mandatory)
Field: DataSource
Coded value list: [Data sources]
The data source (surveillance system) that the record originates from.
Reporting country (mandatory)
Field: Reportingcountry
Coded value list: [Countries]
Coding: International organization for standardization (ISO) 3166-1-alpha-2, (two-letter code)
The country reporting the record.
Date used for statistics (mandatory)
Field: DateUsedForStatistics
Coding: yyyy-mm-dd
The reference date used for standard reports that is compared to the reporting period. The date used
for statistics can be any date that the reporting country finds applicable, e.g. date of notification, date
of diagnosis or any other date.
Epidemiological variables
ARI_Denominator: Age 0-4
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Field: ARI_Denominator00-04
Coding: Number
Number of ARI_Denominator in the age 0-4. For type, see data source property 'Type of denominator'.
ARI_Denominator: Age 5-14
Field: ARI_Denominator05-14
Coding: Number
Number of ARI_Denominator in the age 5-14. For type, see data source property 'Type of denominator'.
ARI_Denominator: Age 15-64
Field: ARI_Denominator15-64
Coding: Number
Number of ARI_Denominator in the age 15-64. For type, see data source property 'Type of
denominator'.
ARI_Denominator: Age 65+
Field: ARI_Denominator65+
Coding: Number
Number of ARI_Denominator in the age >= 65. For type, see data source property 'Type of
denominator'.
ARI_Denominator: Total
Field: ARI_DenominatorNumberOfCases
Coding: Number
Total number of ARI_denominator. For type, see data source property 'Type of denominator'.
ARI_Denominator: Age unknown
Field: ARI_DenominatorUnk
Coding: Number
Number of ARI_Denominator with unknown age. For type, see data source property 'Type of
denominator'.
ARI: Age 0-4
Field: ARI00-04
Coding: Number
Number of ARI observed in the age 0-4.
ARI: Age 5-14
Field: ARI05-14
Coding: Number
Number of ARI observed in the age 5-14.
ARI: Age 15-64
Field: ARI15-64
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Coding: Number
Number of ARI observed in the age 15-64.
ARI: Age 65+
Field: ARI65+
Coding: Number
Number of ARI observed in the age >= 65.
ARI: Total number of observed
Field: ARINumberOfCases
Coding: Number
Number of ARI observed.
ARI: Age unknown
Field: ARIUnk
Coding: Number
Number of ARI observed - age unknown.
ILI_Denominator: Age 0-4
Field: ILI_Denominator00-04
Coding: Number
Number of ILI_Denominator in the age 0-4. For type, see data source property 'Type of denominator'.
ILI_Denominator: Age 5-14
Field: ILI_Denominator05-14
Coding: Number
Number of ILI_Denominator in the age 5-14. For type, see data source property 'Type of denominator'.
ILI_Denominator: Age 15-64
Field: ILI_Denominator15-64
Coding: Number
Number of ILI_Denominator in the age 15-64. For type, see data source property 'Type of denominator'.
ILI_Denominator: Age 65+
Field: ILI_Denominator65+
Coding: Number
Number of ILI_Denominator in the age >= 65. For type, see data source property 'Type of
denominator'.
ILI_Denominator: Total
Field: ILI_DenominatorNumberOfCases
Coding: Number
Total number of ILI_denominator. For type, see data source property 'Type of denominator'.
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ILI_Denominator: Age unknown
Field: ILI_DenominatorUnk
Coding: Number
Number of ILI_Denominator with unknown age. For type, see data source property 'Type of
denominator'.
ILI: Age 0-4
Field: ILI00-04
Coding: Number
Number of ILI observed in the age 0-4.
ILI: Age 5-14
Field: ILI05-14
Coding: Number
Number of ILI observed in the age 5-14.
ILI: Age 15-64
Field: ILI15-64
Coding: Number
Number of ILI observed in the age 15-64.
ILI: Age 65+
Field: ILI65+
Coding: Number
Number of ILI observed in the age >= 65.
ILI: Total number of observed
Field: ILINumberOfCases
Coding: Number
Number of ILI observed.
ILI: Age unknown
Field: ILIUnk
Coding: Number
Number of ILI observed - age unknown.
Geographic spread of influenza (mandatory)
Field: GeographicSpread
Coded value list: [GeographicSpread]
Coding: L = Local
NO = No activity
R = Regional
S = Sporadic
UNK = Unknown (no information available)
W = Widespread
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Geographic spread is a measure of the geographic distribution of reported detections of influenza
viruses in specimens from sentinel or non-sentinel sources.
• No activity: No influenza viruses detected (other than detections from cases with recent
known history of travel).
• Sporadic: Influenza viruses sporadically detected.
• Local(ised): Circulation of influenza viruses limited to one administrative unit in the MS (or
reporting site);
• Regional: Circulation of influenza viruses appearing in multiple but less than 50% of the
administrative units of the MS (or reporting sites)*.
• Widespread: Circulation of influenza viruses appearing in 50% or more of the administrative
units of the MS (or reporting sites).
*Regional activity is generally not used for MS with a small population (<5 M) and covering a small
geographic area."
Intensity of influenza
Field: Intensity
Coded value list: [Intensity]
Coding: B = Baseline
H = High
L = Low
M = Medium
UNK = Unknown (no information available)
VH = Very High
Intensity is a measure of influenza activity within individual MS.
• Baseline or below epidemic threshold: ILI or ARI rates that are very low and at levels usually
seen throughout the inter-epidemic period.
• Low: ILI or ARI rates that are relatively low compared to rates from historical data but higher
than the baseline. Influenza virus detections have been reported.
• Medium: ILI or ARI rates that are similar to rates usually observed, based on historical data.
Influenza virus detections have been reported.
• High intensity: ILI or ARI rates that are higher than rates usually observed, based on historical
data. Influenza virus detections have been reported.
• Very high: ILI/ARI rates that are much higher than rates usually observed, based on historical
data. Influenza virus detections have been reported.
Intensity level can be defined using two approaches:
a) Qualitative indicator based on a national expert evaluation of intensity. For MS that report intensity
as a qualitative indicator using an expert evaluation of intensity, they can do so by reviewing the weekly
ILI or ARI rates and comparing them to rates in previous seasons. It is recommended to take influenza
virus detections into account as well.
b) Semi-quantitative indicator using historical data (e.g. Moving Epidemic Method, WHO or
other methods). For MS that report intensity as a semi-quantitative indicator, they can do so by a
predefined method. It is recommended to take influenza virus detections into account as well as
syndromic data.
Trend of influenza
Field: Trend
Coded value list: [Trend]
Coding: D = Decreasing
I = Increasing
S = Stable
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UNK = Unknown (no information available)
Trend is a measure of changes in influenza activity (based on ILI and/or ARI rates and lab-confirmed
influenza cases) in comparison to the previous week or weeks.
• Increasing: ILI and/or ARI consultation rates are substantially higher compared to the previous
week(s) and influenza viruses must have been detected in specimens from sentinel and/or non-sentinel
sourcesab.
• Stable: ILI and/or ARI consultation rates are similar compared to the previous week(s). Influenza
viruses must have been detected in specimens from sentinel and/or non-sentinel sourcesb.
• Decreasing: ILI and/or ARI consultation rates are substantially lower compared to the previous
week(s). Influenza viruses must have been detected in specimens from sentinel and/or non-sentinel
sources ab.
a) Multiple prior weeks should be used to assign increasing or decreasing trend when intensity is
“Baseline or below epidemic threshold” and in the absence of such evidence default to stable; b)
Sentinel data are preferred but if these are not available non-sentinel data may be used.
Impact
Field: Impact
Coded value list: [Impact]
Coding: B = Baseline
H = High
L = Low
M = Medium
UNK = Unknown (no information available)
VH = Very High
Impact is a measure of resultant hospitalization of the epidemic within individual MS.
• Baseline: influenza related hospitalizations (SARI or laboratory confirmed hospitalizations, as counts, percentage positivity or rates) at levels usually seen throughout the inter-epidemic
period. • Low: influenza related hospitalizations (SARI or laboratory confirmed hospitalizations, as
counts, percentage positivity or rates) that are relatively low compared to rates from historical data but higher than the baseline.
• Medium: influenza related hospitalizations (SARI or laboratory confirmed hospitalizations, as
counts, percentage positivity or rates) that are similar to rates usually observed, based on historical data.
• High: influenza related hospitalizations (SARI or laboratory confirmed hospitalizations, as counts, percentage positivity or rates) that are higher than rates usually observed, based on
historical data.
• Very high: influenza related hospitalizations (SARI or laboratory-confirmed hospitalizations, as counts, percentage positivity or rates) that are much higher than rates usually observed, based
on historical data.
PISA indicator for impact of influenza Field: PISA_Impact
Coded value list: [NoLowModHigExtUnk]
Coding: E = Extraordinary H = High
L = Low M = Moderate
N = No activity
UNK = Unknown
Suggested parameters that can be used for the assessment:
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-Weekly number of hospital or ICU admissions for influenza, or rate per unit population
-Influenza-confirmed SARI proportion of all hospital or ICU admissions -Number of patients currently in hospital or ICU with influenza, or rate per unit population
-Composite (product) of weekly SARI rate and weekly percentage positivity rates of SARI cases for influenza
-Weekly excess P&I or all-cause mortality
-Number of hospitalizations for influenza/ requiring oxygen support.
PISA Impact comment Field: PISA_Impact_comment
Coding: Text
Comment field related to PISA Impact indicator.
Confidence of the PISA indicator Impact
Field: PISA_Impact_confidence Coded value list: [LowMediumHighUnk]
Coding: H = High
L = Low M = Medium
UNK = Unknown
Level of confidence for the indicator assessment.
PISA indicator for seriousness of influenza
Field: PISA_Seriousness Coded value list: [LowMediumHighUnk]
Coding: E = Extraordinary H = High
L = Low
M = Moderate N = No activity
UNK = Unknown
Parameter to be used for the assessment (middle and end of season only):
-Cumulative death: hospitalization ratio (for respiratory hospitalizations or ideally for confirmed influenza cases and cases with outcome or discharge data)
-Cumulative ICU: hospitalization ratio (for respiratory hospitalizations or ideally for confirmed influenza)
-SARI:ILI or SARI:ARI ratios.
PISA Seriousness comment
Field: PISA_Seriousness_comment Coding: Text
PISA Seriousness comment.
Confidence of the PISA indicator Seriousness Field: PISA_Seriousness_confidence
Coded value list: [LowMediumHighUnk] Coding: H = High
L = Low
M = Medium UNK = Unknown
Level of confidence for the indicator assessment.
Pisa indicator for transmissibility of influenza
Field: PISA_Transmissibility
Coded value list: [NoLowModHigExtUnk]
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Coding: E = Extraordinary
H = High L = Low
M = Moderate N = No activity
UNK = Unknown
Parameter to be used for the assessment:
-Weekly ILI or MAARI cases as a proportion of total visits or incidence rates -Composite (product) of weekly ILI or MAARI rates and weekly percentage positivity for influenza
-Percentage positivity from specific syndromic presentations (e.g. ILI, ARI, MAARI)
-Number of influenza outbreaks reported in aged care facilities or other susceptible groups -Other healthcare system usage for mild respiratory illness (e.g. health hotline calls, consultations for
coughs/fever, searches on health advice website etc) -Data from participatory surveillance (e.g. prevalence of symptomatic illness/health seeking behaviour
and testing practices).
PISA Transmissibility comment
Field: PISA_Transmissibility_comment Coding: Text
Comment field related to PISA transmissibility indicator.
Confidence of the PISA indicator Transmissibility Field: PISA_Transmissibility_confidence
Coded value list: [LowMediumHighUnk] Coding: H = High
L = Low M = Medium
UNK = Unknown
Level of confidence for the indicator assessment.
Number of reporting physicians
Field: NumberOfPhysicians
Coding: Number
Number of reporting physicians.
Comments for the network only
Field: CommentNonPublic
Coding: Text
Comments for the network only.
Public comments
Field: CommentPublic Coding: Text
Public comments provide additional relevant information that can be made public.
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INFLANTIVIR metadata
The metadata includes information on virus, demographics, source of specimen, hospitalisation,
underlying conditions, vaccination status and treatment. The reporting also includes the genetic clade
and antigenic group to which the virus belongs, as well as phenotypic and/or genotypic antiviral
susceptibility results.
Common TESSy variables
Record Identifier (mandatory)
Field: RecordId
Coding: Text
The name of the virus following WHO format rules: ?/?/?/yyyy -
[A|B]/[country|region|city]/[number]/[year] (e.g. A/California/7/2009). If the sample is taken from an
animal host, use A/?/?/?/yyyy - A/[animal host]/[country|region|city]/[number]/[year] (e.g.
A/chicken/Netherlands/1/2003). IMPORTANT: As the database is based on virus isolate records, an
isolate may already be entered. Be aware that data entered by the European reference laboratory and
data entered by a country is linked using the strain number. It is therefore vital that the strain numbers
on both records are equal and match.
Record type (mandatory)
Field: RecordType
Coding: INFLANTIVIR
The record type defines the structure and the format of the data reported. The record types are defined
by ECDC and are related to the subject. Only valid combinations of subject, record type and data source
are accepted.
Record type version
Field: RecordTypeVersion
Coding: Numeric
The version of the record type defines the current structure of the data reported. If no
RecordTypeVersion is provided in the batch, it is set automatically with current version of the Record
type (Table 2). This variable is not mandatory as TESSy concludes the record type version from the
metadata set indicated by default. However, RecordTypeVersion is required when no metadata set is
provided at upload or when a RecordTypeVersion, other than the current one, needs to be used.
Subject (mandatory)
Field: Subject
Coding: INFLANTIVIR
Subject of the data reported.
Data source (mandatory)
Field: Data source
Coded value list name: [Data sources]
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The data source (surveillance system) that the record originates from.
Status (mandatory)
Field: Status
Coded value list name: [Statuses]
Coding: DELETE = Delete a previously reported record.
NEW/UPDATE = Report a new or update a previously reported record (default).
The field ‘Status’ is used for updating data; the default is NEW/UPDATE. By choosing DELETE the
selected record (or batch of data) will remain in TESSy but be marked as inactive; this data can be
used to reconstruct data for a given date in the past.
Reporting country (mandatory)
Field: Reporting country
Coded value list name: [Countries]
Coding: International organization for standardization (ISO) 3166-1-alpha-2, (two-letter code)
The country reporting the record.
Date used for statistics (mandatory)
Field: Date used for statistics
Coding: yyyy-mm-dd
Date of specimen collected.
Epidemiological variables
Age
Field: Age
Coding: Numerical (0-120)
UNK = Unknown
Age of patient in years as reported in the national system at the time of disease onset.
Age in months
Field: AgeMonth
Coding: Numerical (0-23)
NA = Not applicable
UNK = Unknown
Age of patient in months as reported in the national system for cases < 2 years of age at the time of
disease onset.
Gender
Field: Gender
Coding: Gender:
F = Female
M = Male
O = Other
Unk = Unknown
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Gender of the reported case.
Date of Onset of Disease
Field: DateOfOnset
Coding: yyyy-mm-dd
UNK = Unknown
Date of onset of disease. Not applicable in asymptomatic cases. If not applicable, please use 'Unk'.
Probable country of infection
Field: ProbableCountryOfInfection
Coded value list: Country
Country(ies) visited in the 2 weeks prior to onset of illness. If there is more than one country N/A should
be used in the empty repeated fields.
Exposure to drugs in a household 2 weeks before onset of disease
Field: ExposureDrug2weeksHouse
Coded value list: [YesNoUnk]
Coding: N = No
Unk = Unknown
Y = Yes
Has anyone in the household been treated with antiviral drug in 14 days prior to onset of illness.
Exposure to type of drug in a household 2 weeks before onset of disease
Field: ExposureDrug2weeksHouseType
Coded value list: [ExposureDrugINFL]
Coding: A = Amantadine
B = Baloxavir marboxil
O = Oseltamivir
P = Peramivir
RIM = Rimantadine
Unk = Unknown
Z = Zanamivir
Kind of drug for household member(s) treatment in 14 days prior to onset of illness of the patient.
Patient exposure to drugs 2 weeks before onset of disease
Field: ExposureDrug2weeksPatient
Coded value list: [YesNoUnk]
Coding: N = No
Unk = Unknown
Y = Yes
Has the patient been treated with antiviral drug in 14 days prior to onset of illness.
Patient exposure to type of drug 2 weeks before onset of disease
Field: ExposureDrug2weeksPatientType
Coded value list: [ExposureDrugINFL]
Coding: A = Amantadine
B = Baloxavir marboxil
O = Oseltamivir
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P = Peramivir
RIM = Rimantadine
Unk = Unknown
Z = Zanamivir
Kind of drug for patient treatment in 14 days prior to onset of illness.
Source virus (mandatory)
Field: VirusSource
Coded value list: [VirusSourceINFL]
Coding: N = Non-sentinel patient
S = Sentinel patient
Unk = Unknown
Of which system the patient of which the virus has been isolated is coming from, sentinel or non-
sentinel.
Category (if non-sentinel) (mandatory)
Field: VirusCategoryIfNonSentinel
Coding value list: [VirusCategoryIfNonSentinelINFL]
Coding: C = Community
H = Hospital
I = Institution
NA = Not applicable
O = other
Unk = Unknown
Further specification of non-sentinel source.
Virus (sub)type (mandatory)
Field: Subtype
Coded value list: InfluenzaTypeSubtype
Coding:
A = A, not sub-typed
AH3 = A(H3), not N sub-typed
AH3N2 = A(H3N2)
B = B, lineage not determined
BVic = Influenza type B, Victoria lineage
BYam = Influenza type B, Yamagata lineage
AH1pdm09 = A(H1)pdm09
AH1N1pdm09 = A(H1N1)pdm09
UNK = Unknown
Virus type and subtype.
Vaccination status
Field: VaccStatus
Coding value list: [VaccStatusINFL]
Coding: NOTVACC = Not vaccinated
Unk = Unknown
VACCINFULL = Fully vaccinated
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Vaccinated with vaccine for current season. Fully vaccinated is only applicable for young children.
Majority of the patients only need one vaccination/season.
I-MOVE specimen
Field: IMOVE
Coding value list: [YesNoUnk]
Coding: N = No
NA = Not applicable
Unk = Unknown
Y = Yes
This specimen has been included in the I-MOVE vaccine effectiveness study.
Hospitalisation during the 4 weeks after onset of illness
Field: Hospitalisation
Coding value list: [YesNoUnk]
Coding: N = No
Unk = Unknown
Y = Yes
Hospitalisation in the 4 weeks after onset of illness.
Progression of the disease in the 4 weeks after the onset of illness
Field: Progress4weeks
Coding value list: [Progress4weeks]
Coding: C = Complicated
U = Uncomplicated
Unk = Unknown
Progression of the disease in the 4 weeks after onset of illness
ImmunoCompromised
Field: ImmunoCompromised
Coding value list: [ImmunoCompromised]
Coding: N = No
UNK = Unknown
YD = Yes, due to disease
YM = Yes, due to medication
YRU = Yes, reason unknown
Information, if case is immunocompromised.
Diagnosis of complication
Field: ComplicationDiagnosis
Coding value list: [ComplicationDiagnosisINFL]
Coding: OTH = Other
OTIT = Otitis
PNEU = Pneumonia
Complication diagnosis.
Other diagnosis of complication
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Field: ComplicationDiagnosisOther
Coding: Text
Other complication diagnosis.
Outcome of case
Field: Outcome
Coding value list: [CaseReportOutcome]
Coding: A = Alive
D = Died
NA = Not applicable
Unk = Unknown
Death in the 4 weeks after onset of illness.
Laboratory variables
Antigenic group
Field: Antigenic group
Coded value list: AntigenicGroupINFL
Coding:
agAH1/Sydney/5/2021 = A(H1)pdm09 clade 5a.2a A/Sydney/5/2021-like
agAH1/Victoria/2570/2019 = A(H1)pdm09 clade 5a.2 A/Victoria/2570/2019-like
agAH1/Victoria/4897/2022 = A(H1)pdm09 clade 5a.2a.1 A/Victoria/4897/2022-like
agAH1/Wisconsin/67/2022 = A(H1)pdm09 clade 5a.2a.1 A/Wisconsin/67/2022-like
agAH1NOCAT = A(H1)pdm09 not attributed to category
agAH3/Catalonia/NSVH161512067/2022 = A(H3) clade 2a.1b
A/Catalonia/NSVH161512067/2022-like
agAH3/Darwin/9/2021 = A(H3) clade 2a A/Darwin/9/2021-like
agAH3/Thailand/8/2022 = A(H3) clade 2a.3a.1 A/Thailand/8/2022-like
agAH3/Thuringen/10/2022 = A(H3) clade 2b A/Thuringen/10/2022-like
agAH3NOCAT = A(H3) not attributed to category
agBVicB/Austria/1359417/2021 = B(Vic) clade V1A.3a.2 B/Austria/1359417/2021-like
agBVicB/Stockholm/3/2022 = B(Vic) clade V1A.3a.2 B/Stockholm/3/2022-like
agBVicB/Washington/02/2019 = B(Vic) clade V1A.3 B/Washington/02/2019-like
agBVicNOCAT = B(Vic) lineage not attributed to category
agBYamNOCAT = B(Yam) lineage not attributed to category
Coded list of reference strains for Antigenic group.
Genetic clade
Field: Genetic clade
Coded value list: GeneticCladeINFL
Coding:
genAH1/Sydney/5/2021= A(H1)pdm09 clade 5a.2 representative A/Sydney/5/2021
genAH1/Victoria/2570/2019 = A(H1)pdm09 clade 5a.2 representative A/Victoria/2570/2019
genAH1/Victoria/4897/2022 = A(H1)pdm09 clade 5a.2a.1 representative
A/Victoria/4897/2022
genAH1/Wisconsin/67/2022 = A(H1)pdm09 clade 5a.2a.1 representative
A/Wisconsin/67/2022
genAH1NOClade = A(H1)pdm09 not attributed to clade
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genAH1SubgroupNotListed = A(H1)pdm09 attributed to recognised group in the guidance but
not listed here
genAH3/Catalonia/NSVH161512067/2022 = A(H3) clade 2a.1b representative
A/Catalonia/NSVH161512067/2022
genAH3/Darwin/9/2021 = A(H3) clade 2a representative A/Darwin/9/2021
genAH3/Finland/402/2023 = A(H3) clade 2a.3a representative A/Finland/402/2023
genAH3/Sydney/732/2022 = A(H3) clade 2a.3b representative A/Sydney/732/2022
genAH3/Thailand/8/2022 = A(H3) clade 2a.3a.1 representative A/Thailand/8/2022
genAH3/Thuringen/10/2022 = A(H3) clade 2b representative A/Thuringen/10/2022
genAH3NOClade = A(H3) not attributed to clade
genAH3SubgroupNotListed = A(H3) attributed to recognised group in current guidance but
not listed here
genBVicB/Austria/1359417/2021 = B(Vic) clade V1A.3a.2 representative
B/Austria/1359417/2021
genBVicB/Catalonia/2279261NS/2023 = B(Vic) clade V1A.3a.2 representative
B/Catalonia/2279261NS/2023
genBVicB/Connecticut/01/2021 = B(Vic) clade V1A.3a.2 representative
B/Connecticut/01/2021
genBVicB/Moldova/2030521/2023 = B(Vic) clade V1A.3a.2 representative
B/Moldova/2030521/2023
genBVicB/Washington/02/2019 = B(Vic) clade V1A.3 representative B/Washington/02/2019
genBVicNOClade = B(Vic) lineage not attributed to clade
genBVicSubgroupNotListed = B(Vic) attributed to recognised group in current guidance but
not listed here
genBYamB/Phuket/3073/2013 = B(Yam) clade Y3 representative B/Phuket/3073/2013
genBYamNOClade = B(Yam) lineage not attributed to clade
genBYamSubgroupNotListed = B(Yam) attributed to recognised group in current
guidance but not listed here
Coded list of reference strains for Genetic clade.
HA sequence aa resistance mutations
Field: HAAAMutations
Coding: Text
Listing of amino acid substitution in HA, separated by semi colon. Format for reporting composition
ALL relevant amino acid positions: e.g. E190D.
ISD: HA sequence number
Field: HAISD
Coding: Text
Accession number for sequence data HA, ISD or other.
InterpretationM2BlockerResistanceTesting
Field: InterpretationM2BlockerResistanceTesting
Coded value list: [InterpretationResistanceTest]
Coding: AAHRI = Amino acid substitution previously associated with highly reduced inhibition
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AAINP = Genotypic interpretation not possible
AANI = No amino acid substitution prev assoc. with (highly)reduced inhibition
AARI = Amino acid substitution previously associated with reduced inhibition
HRI = Highly reduced inhibition
NA = Not applicable
NI = Normal inhibition
RI = Reduced inhibition
Interpretation of M2BlockerResistanceTesting.
InterpretationOseltamivirResistanceTesting
Field: InterpretationOseltamivirResistanceTesting
Coded value list: [InterpretationResistanceTest]
Coding: AAHRI = Amino acid substitution previously associated with highly reduced inhibition
AAINP = Genotypic interpretation not possible
AANI = No amino acid substitution prev assoc. with (highly)reduced inhibition
AARI = Amino acid substitution previously associated with reduced inhibition
HRI = Highly reduced inhibition
NA = Not applicable
NI = Normal inhibition
RI = Reduced inhibition
Interpretation of OseltamivirResistanceTesting.
InterpretationPABlockerResistanceTesting
Field: InterpretationPABlockerResistanceTesting
Coded value list: [InterpPABlockerResistanceTest]
Coding: AAINP = Amino Acid substitution Interpretation not possible
AANS = No amino acid substitution in PA previously associated with reduced suscept
AARS = Amino acid substitution in PA previously associated with reduced susceptibility
NA = Not applicable
Interpretation of PABlockerResistanceTesting.
InterpretationZanamivirResistanceTesting
Field: InterpretationZanamivirResistanceTesting
Coded value list: [InterpretationResistanceTest]
Coding: AAHRI = Amino acid substitution previously associated with highly reduced inhibition
AAINP = Genotypic interpretation not possible
AANI = No amino acid substitution prev assoc. with (highly)reduced inhibition
AARI = Amino acid substitution previously associated with reduced inhibition
HRI = Highly reduced inhibition
NA = Not applicable
NI = Normal inhibition
RI = Reduced inhibition
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Interpretation of ZanamivirResistanceTesting.
M2 sequence aa resistance mutations
Field: M2AAMutations
Coding: Text
Listing of amino acid substitution in M2 separated by semi colon. Format for reporting composition ALL
relevant amino acid positions: e.g. S31N.
ISD: M2 sequence number
Field: M2ISD
Coding: Text
Accession number for sequence data M2, ISD or other.
NA sequence aa resistance mutations
Field: NAAAMutations
Coding: Text
Listing of amino acid substitution in NA separated by semi colon. Format for reporting composition ALL
relevant amino acid positions: e.g. H275Y.
ISD: NA sequence number
Field: NAISD
Coding: Text
Accession number for sequence data NA, ISD or other.
PA sequence aa resistance mutations
Field: PAAAMutations
Coding: Text
Listing of amino acid substitution in PA separated by semi colon. Format for reporting composition ALL
relevant amino acid positions: e.g. I38T or I38M or I38F.
ISD: PA sequence number
Field: PAISD
Coding: Text
Accession number for sequence data PA, ISD or other.
Sequence identifier
Field: SequenceId
Coding: Text
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Sequence identifier for whole or partial genome, based on which the sequence read data can be
retrieved from GISAID. GISAID isolate sequence accession number should be reported in format
EPI_ISL_402123. Reporting of ‘NA’ or ‘UNK’ is not allowed.
IC50 Oseltamivir (MUNANA) nM
Field: OseltamivirMUNANA
Coding: Number (decimal number)
Sensitivity for oseltamivir with fluorescent assay using MUNANA in nM.
IC50 Oseltamivir (NA-Star) nM
Field: OseltamivirNAStar
Coding: Number (decimal number)
Sensitivity for oseltamivir with chemiluminescent assay using NAStar in nM.
IC50 Zanamivir (MUNANA) nM
Field: ZanamivirMUNANA
Coding: Number (decimal number)
Sensitivity for zanamivir with fluorescent assay using MUNANA in nM.
IC50 Zanamivir (NA-Star) nM
Field: ZanamivirNAStar
Coding: Number (decimal number)
Sensitivity for zanamivir with chemiluminescent assay using NAStar in nM.
IC50 Amantadine µM
Field: Amantadine
Coding: Number (decimal number)
Sensitivity for amantadine in µM.
IC50 Rimantadine µM
Field: Rimantadine
Coding: Number (decimal number)
Sensitivity for rimantadine in µM.
Weekly interpretive comment on antigenic characterisations
Field: CommentAG
Coding: Text
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Weekly interpretive comment on antigenic characterisations.
Weekly interpretive comment on genetic characterisations
Fied: CommentGC
Coding: Text
Weekly interpretive comment on genetic characterisations.
Comment
Field: Comment
Coding: Text
Free comment on data, suggestion to fill in conclusion here.
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NCOVVARIANT metadata
NCOVVARIANT is used for reporting of aggregated data on variants of interest and of concern per
week.
Common TESSy variables
Record Identifier (mandatory)
Field: RecordId
Coding: Text (max 80 characters)
The record identifier is provided by the Member State. It must be
▪ unique within the national COVID-19 disease surveillance system
▪ anonymous.
Record type (mandatory)
Field: RecordType
Coding: NCOVVARIANT
The record type defines the structure and the format of the data reported. The record types are defined
by ECDC and are related to the subject. Only valid combinations of subject, record type and data source
are accepted.
Record type version
Field: RecordTypeVersion
Coding: Numeric
The version of the record type defines the current structure of the data reported. If no
RecordTypeVersion is provided in the batch, it is set automatically with current version of the Record
type (Table 2). This variable is not mandatory as TESSy concludes the record type version from the
metadata set indicated by default. However, RecordTypeVersion is required when no metadata set is
provided at upload or when a RecordTypeVersion, other than the current one, needs to be used.
Subject (mandatory)
Field: Subject
Coding: NCOVVARIANT
The subject describes the disease to be reported.
Data source (mandatory)
Field: DataSource
Coding: Pre-assigned as CountryCode-NCOVVARIANT to each country; can be modified by National
Coordinator
The data source specifies the surveillance system from which the data originates and is generated and
revised/updated by the national contact point for surveillance in each Member State. The descriptions
of the surveillance systems submitted to TESSy should be kept up to date and will be used to assist
with data interpretation.
Reporting country (mandatory)
Field: ReportingCountry
Coded value list: [Countries]
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Coding: International organization for standardization (ISO) 3166-1-alpha-2, (two-letter code)
This variable identifies the country reporting the case.
Date used for statistics (mandatory)
Field: DateUsedForStatistics
Coding: yyyy-Www
The week of sampling.
Epidemiological variables
Virus variant of SARS-CoV-2
Field: VirusVariant
Coded value list: [VirusVariantNCOV]
Coding:
P.1 = P.1 variants (L18F, T20N, P26S, D138Y, R190S, K417T, E484K, N501Y, H655Y,
T1027I, V1176F)
S_GENE_DELETION = Variant virus with deletion in S-gene (defined by mutation: del 69-70
or by negative S-gene RT-PCR)
VARIANT_OTHER = Variants not included in the coded value list, please specify
B.1.525 = B.1.525 (mutations: E484K, D614G, Q677H)
B.1.427/B.1.429 = B.1.427/B.1.429 (mutations: L452R, D614G)
B.1.617.2 = B.1.617.2 (mutations: L452R, T478K, D614G, P681R); B.1.617.2 and all of its
sublineages including AY sublineages
B.1.621 = B.1.621 (mutations: R346K, E484K, N501Y, D614G, P681H)
B.1.351 = B.1.351 (defined by mutations: D80A, D215G, E484K, N501Y, A701V)
B.1.1.7 = B.1.1.7 (mutations: del69-70, del144, N501Y, A570D, D614G, P681H, T716I,
S982A, D1118H)
C.37= C.37 (mutations L452Q, F490S, D614G)
BA.1 = BA.1 or B.1.1.529 with mutations del69-70, ins214EPE, S371L, G496S, T547K
BA.2 = BA.2 or B.1.1.529 with mutations V213G, T376A, R408S
BA.2.75 = BA.2 sub-lineage with mutations D339H, G446S, N460K, and R493Q in the RBD,
and mutations K147E, W152R, F157L, I210V, and G257S in the N-terminal domain of the
Spike protein
BA.2+L452X = BA.2 and any of its sub-lineages with mutations at position 452 of the Spike
protein
BA.3 = BA.3 or B.1.1.529 with mutations del69-70, ORF1a:A3657V, ORF3a:T22V
BA.4 = BA.4 or B.1.1.529 with mutations L452R, F486V, del69-70, NSP7b: L11F, N:P151S,
ORF1a: Δ141-143
BA.5 = BA.5 or B.1.1.529 with mutations L452R, F486V, del69-70
BQ.1 = Pango lineage BQ.1 and sub-lineages
XBB.1.5 = Pango lineage XBB with additional mutation S486P. Mutational proxy: Spike:
Q183E, F486P, F490S
BA.2.86 = Pango lineage BA.2.86 and sub-lineages
UNK = Sequence information unknown or not available
COVID-19 case with a variant virus of SARS-CoV-2 according to a mutation pattern of specific concern
identified by sequence analysis or by a specific RT-PCR pattern. Each virus should only be reported
once, using the most specific variant available, to avoid double reporting. If several apply, choose the
most specific variant (highest number of matching mutations). The mapping of sublineages published
at
https://www.ecdc.europa.eu/sites/default/files/documents/PathogenVariant_public_mappings.csv
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should be used to determine how to assign specific sublineages to items in the coded value list above.
Additional information about which specific sublineages have been mapped may optionally be provided
in addition in VirusVariantOther. Variants not included in the coded value list and/or which cannot be
mapped to variants in the coded value list should be reported using VARIANT_OTHER with more details
provided in VirusVariantOther. If typing results are inconclusive, report UNK.
Virus variant type other specified
Field: VirusVariantOther
Coding: TEXT
Specified variant type not captured in the coded values for VirusVariant variable as indicated in
VARIANT_OTHER response for VirusVariant variable.
Number of detections from representative surveillance – sentinel
Field: NumberRepresentativeSentinel
Coding: Numeric
Number of the specific variant detected from representative sentinel (primary care or SARI)
surveillance. Refer to https://www.ecdc.europa.eu/en/publications-data/operational-considerations-
respiratory-virus-surveillance-europe for more details.
Number of detections from representative surveillance – non-sentinel
Field: NumberRepresentativeNonSentinel
Coding: Numeric
Number of the specific variant detected from a carefully selected (representative) subset of non-
sentinel specimens where this is needed to increase the volume of representative sequencing or
genotyping to the desired detection threshold. Refer to https://www.ecdc.europa.eu/en/publications-
data/operational-considerations-respiratory-virus-surveillance-europe for more details.
Number of detections from targeted surveillance
Field: NumberTargeted
Coding: Numeric
Number of the specific variant detected from targeted sequencing or genotyping, such as unusual
events or clinical presentations, travel, outbreaks etc. Refer to
https://www.ecdc.europa.eu/en/publications-data/operational-considerations-respiratory-virus-
surveillance-europe for more details.
Number of detections with unknown reason for sequencing
Field: NumberUNK
Coding: Numeric
Number of the specific variant where the reason for sequencing or genotyping was not known.