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Teema: Slides from the Pre-season European Region Respiratory Surveillance Network webinar
Kuupäev: 2025-09-23 10:54
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To: National Focal Points for Viral Respiratory Diseases, Operational
Contact Points Epidemiology, Microbiology and TESSy/EPC for COVID-19,
Influenza and SARI
CC: National Coordinators, Observer National Focal Points for Viral
Respiratory Diseases in the Western Balkans and Türkiye, Contact Points for
Epidemiology, Microbiology and TESSy/EPC for COVID-19, Influenza and SARI in
the Western Balkans and Türkiye
Dear colleagues,
We are happy to share with you the slides presented during the Pre-season
European Region Respiratory Surveillance Network webinar on 18 September
2025 at 10:30-12:30 CEST.
With best wishes,
The ECDC and WHO Europe and Respiratory Viruses Teams
European Centre for Disease Prevention and Control (ECDC)
Gustav III:s boulevard 40, 169 73 Solna, Sweden
Phone +46 (0)8 58 60 10 00
www.ecdc.europa.eu
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Start of season Respiratory Virus
Surveillance Network Webinar
18 September 2025
Agenda
Item Presenter
1. Welcome and opening remarks Marc-Alain Widdowson, WHO/Europe and Edoardo Colzani, ECDC
2. Southern Hemisphere Respiratory season Patrick Reading, WHO Collaborating Centre for Reference and Research
on Influenza, Melbourne, Australia
3. Review of 2025 summer period Chair: Edoardo Colzani
Overview: Nick Bundle, ECDC
Malta: Maria-Louise Borg, Health Promotion and Disease Prevention,
Department for Health Regulation
Scotland: Ross McQueenie, Vaccine Effectiveness and Respiratory
Inequalities, Public Health Scotland
Spain: Susana Monge, National Centre of Epidemiology, Institute of
Health Carlos III (ISCIII)
4. EpiPulse Cases – reporting PISA to RESPIQUAL Chair: Edoardo Colzani
PISA: Piers Mook, WHO/Europe
Timeline and Metadata: Luisa Hallmaier-Wacker, ECDC
Demo: Claudiu Stancut, ECDC
5. Closing remarks Edoardo Colzani, ECDC
3
Upcoming schedule – 2025/2026 season
Webinar
Topic Timing
Start-of-season September 2025 (today)
Mid-season webinar January- February 2025
Late/End-of-season April-May 2025
Additional webinars on specific topics (e.g. EPC TBD
metadata)
ERVISS
Publication week for 2025/2026 season Publication
W52 (Dec 26) No ERVISS
W01 (Jan 2) Publication moved to Monday 5 Jan 2026
W14 (Apr 3) No ERVISS
W18 (May 1) Publication moved to Monday 4 May 2026
W20 (May 15) No ERVISS
4
Southern Hemisphere Respiratory season –
Australian perspective
Update on the influenza season in the Southern
Hemisphere in 2025
Prof. Patrick Reading
Director, WHO Collaborating Centre for Reference and Research on Influenza
At the Peter Doherty Institute for Infection and Immunity
[email protected]
SARS-CoV-2 in Australia
• VIDRL at Doherty Institute is a
reference laboratory in the WHO
Coronavirus Network
•COVID-19 vaccines are free to all people
under the National COVID-19 Vaccine
Program
• Less adults have received COVID-19
vaccines in the last 12 months (11.1%
compared to 13.9% in prior 12months),
with decreased vaccine coverage across
all age groups
National Notifiable Diseases Surveillance System (NNDSS)
SARS-CoV-2 – variants circulating in Australia?
SARS-CoV-2 Omicron sub-lineages by sample collection date,
Jan 1 – September 7 • NB.1.8.1 is dominant sub-lineage
in Australia in last month, >55% of
all sequences
Source: AusTrakka, NNDSS
What about RSV in Australia?
• WHO CC Melbourne is a WHO
reference laboratory for RSV
• In Australia, the maternal RSV vaccine
(Abrysvo®) is free under the National
Immunisation Program (recommended
for women at 28–36 weeks)
• Recommended for other groups
Source: NNDSS
Influenza notifications in Australia
As at 10/09/2025
NNDSS
Receipt and analysis of influenza samples at WHO CC, Melbourne
Receipt of samples by WHO CCs for detailed analysis Sample receipt WHO CC Melbourne
(genetic, antigenic, epidemiological) Feb 1 – Sept 16, 2025
Country No of Samples Received
Australia 7585
Bhutan 37
Brunei 60
Cambodia 45
Cook Islands 2
Fiji 21
Nepal 36
New Caledonia 73
New Zealand 144
Papua New Guinea 42
Singapore 74
Solomon Islands 6
South Africa 26
Sri Lanka 54
Thailand 21
Vanuatu 2
Total 8,228
US CDC (Atlanta) Crick (London) VIDRL (Melbourne) NIID (Tokyo) CNIC (Beijing)
What viruses have been circulating in Australia in 2025?
• So far this year, most viruses are A/H1N1pdm or
influenza B viruses
• In depth characterisation at WHO CCRRI indicates that
the majority of recently circulating viruses are
reasonably well matched to the current influenza
vaccine
• The A/H3N2 component of the seasonal influenza
vaccine was updated for the Southern Hemisphere
vaccine (SH) at the last WHO Recommendation
Meeting for the SH vaccine
What about other countries in Asia or the Southern hemisphere?
Cambodia Bhutan
Brazil South Africa
A quick look at recent A/H1N1pdm viruses
Vaccine strain
•A/Victoria/4897/2022-like virus, clade 5a.2a.1, subclade D.
A quick look at recent A/H3N2 viruses
Vaccine strain
•A/Croatia/10136RV/2023-like virus, clade 2a.3a.1, subclade J.2.
A quick look at B/Victoria viruses
Vaccine strain
•B/Austria/1359417/2021-like virus, clade V1A.3a.2, subclade C
Summary
• In Australia, we have moved from winter to spring and levels of influenza, SARS-CoV-2
and RSV are starting to decline.
• The Australian influenza season saw predominantly A/H1N1pdm and lower levels of
B/Victoria viruses. A/H3N2 was detected at low levels throughout the season.
• In general, A/H1N1pdm circulation was high in the Southern Hemisphere, noting that
A/H3N2 predominated in South Africa in the winter months.
• Data from our WHO CC indicate that recently circulating viruses are generally well
covered by current components of influenza vaccines for the Southern Hemisphere.
• The WHO Consultation on the Composition of Influenza Vaccines for the Southern
Hemisphere in 2026 will be held in Japan next week.
Review of 2025 summer period
Reflections from European level surveillance
during summer 2025
Nick Bundle, ECDC
Reflections from European level summer
surveillance 2025
1. How best to assess the situation during periods of low respiratory activity?
2. What has been the impact of COVID-19 in secondary care over the summer?
3. Seasonality and thinking ahead
20
1. How best to assess the situation during periods of low
respiratory activity?
H
1. How best to assess the situation during periods of low
respiratory activity?
• Rising primary care test positivity
was hard to interpret while
ARI/ILI was baseline in all
countries
• Most country level data initially
very noisy and based on v low
counts of detections
• Single large country driving up the
pooled line above the 75th centile
of country values
H
1. How best to assess the situation during periods of low
respiratory activity?
• Non-sentinel lab-based
surveillance data was
extremely useful in early
summer period
• Smoother trends that were
detected much earlier than
ILI/ARI virological data
• Still unclear why the
syndromic systems hadn’t
detected anything
• What would be the impact on
severe disease?
23
2. What has been the impact of COVID-19 in secondary care
over the summer?
24
2. What has been the impact of COVID-19 in secondary care
over the summer?
SARI virological surveillance
• Used proxy SARI rates internally as part of our
weekly assessment
H
2. What has been the impact of COVID-19 in secondary care
over the summer?
• Proxy rates were
lower than last
summer
• Hospital lab-based
data also suggested
lower in many
countries
• But....what will
come next?
26
3. Seasonality and thinking ahead
• Timing of 2025 summer COVID-19 has • In 2024 the impact in SARI continued long into the
closely matched that of summer 2024 winter
27
3. Seasonality and thinking ahead
• RSV - another summer without early activity. • Influenza - limited summer detections overall
More evidence of return to normal seasonality? with some exceptions
Eurosurveillance | An interseasonal outbreak of influenza
A(H1N1)pdm09 related to a music festival, Denmark, August
2025
28
COVID-19 in Scotland 2024-25
Ross McQueenie – Acting lead healthcare scientist in vaccine
effectiveness and respiratory inequalities
18 September 2025
Wastewater Surveillance
Wastewater-based surveillance
National running average trends in wastewater RNA up to 28th August 2025. For this graph, a
Situation up to 28th August 2025: wastewater RNA average using the last 7 days of data is computed at every sampling date. Prevalence
estimates and 95% confidence intervals from the ONS Coronavirus Infection Survey is overlaid, with a
• During the one-week period of 22 August 2025 scale chosen to approximately match post-July 2022 trends in WW viral RNA level.
to 28 August 2025 levels ranged between 34
and 49 Mgc/p/d, while in the previous week (15
August 2025 to 21 August 2025) levels were 49
to 52 Mgc/p/d.
• COVID-19 RNA wastewater levels increased
gradually over summer 2025, though remained
at lower levels than in the previous summer.
• RNA levels in wastewater continue to circulate
at reduced levels. This remains consistent with
other PHS indicators, including hospital
admissions.
Quality control (QC) samples (with a known quantity of virus) are PCR-tested alongside surveillance samples to assess changes in RNA recovery efficiency. When comparing estimates of RNA levels across
surrounding sampling dates, this can indicate "batch" effects, whereby unusually high RNA recovery rates most likely explain the observed rise.
See Public Health Scotland COVID-19 Statistical Report for further details: https://publichealthscotland.scot/our-areas-of-work/covid-19/covid-19-data-and-intelligence/covid-19-weekly-report-for-scotland/.
Laboratory Surveillance
COVID-19 PCR/LFD cases
• Among PCR tests, PCR positivity (7-day
Daily number of PCR testing and proportion PCR positive
average) increased in the most recent week
(from 9.89% to 10.69%, 414/3873).
• Summer 2025 COVID-19 incidence showed a
small peak around week 25 – consistent with
PCR test positivity around the same time.
Incidence was lower than in previous seasons.
COVID-19 incidence rate (per 100,000 population),
seasons 2022/2023 to 2024/2025
Note: As of 4th June 2024, asymptomatic testing of those being discharged from
hospital into the residential care setting has ceased.
Secondary Care Surveillance
COVID-19 Hospital Admissions and Inpatients
• The number of hospital admissions (RAPID)
have decreased, and inpatient numbers have
increased (7-day average of 144 inpatients on
the 24th August compared with 177 inpatients on
the 31st August).
• Admission rates have increased in the under 18,
40-49, 50-54, 55-59, 60-64 and 75-79 age
groups and decreased or remained consistent in
all other age groups.
• COVID-19 hospital admissions for all age
ranges remained low over summer 2025 but, as
in other indicators, appear to be increasing in
recent weeks.
Data Sources: Hospital Admissions – RAPID, Hospital Inpatients – PHS
COVID-19 admission definition: PCR confirmed episode of COVID-19 infection that is community
acquired (up to 14 days before or within 2 days of admission).
This includes emergency admissions (except for patient injury codes) and medical
and paediatric specialities only. Inpatients were counted for 28 days after testing positive prior to
08 May 2023 and then up to 10 days after testing positive following 08 May 2023 (shown as red line
in the admissions and inpatients chart)
COVID-19 ICU inpatients
• Numbers of ICU inpatients with a PCR-
confirmed SARS-CoV-2 infection have
decreased overall since autumn 2021.
• There has been an increase (from 59 to 64)
in the total number of ICU inpatients with a
PCR-confirmed SARS-CoV-2 infection in
the most recent week (w/c 18th August and
w/c 25th August).
• The total number of ICU inpatients clinically
diagnosed with COVID-19 between w/c 11th
August and w/c 18th August remained
consistent (19 to 19) and increased (19 to
20) between w/c 18th August and w/c 25th
August.
• No noticeable increase in ICU inpatients
over summer 2025.
Data Sources: SICSAG ICU report
Since 21st Oct 2020, a COVID-19 related ICU admission is identified as follows: A patient who has tested positive for COVID at any time in the 21
days prior to admission to ICU, or who has tested positive from the date of admission up to and including the date of ICU discharge.
Mortality
NRS COVID-19 deaths
• There were 7 deaths where COVID-19 was listed on the death certificate in the
last week (deaths registered between the 18th August and 24th August), this is 3
more than the previous week.
• Deaths have increased in the 75-84 and 85+ age groups and remained consistent
in all other age groups in the most recent week.
• Most COVID-19 related deaths continue to occur in hospital. There were no care
home deaths in the most recent week.
• COVID-19 mortality remained at low levels for all age groups over summer 2025.
Source: https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/deaths-involving-
coronavirus-covid-19-in-scotland Note: Updated NRS death data are published on Thursday morning.
Vaccine Effectiveness
COVID-19 Vaccine Effectiveness against Covid 19 hospitalisation
among adults aged 65 years and above in Scotland, 2024-2025
Winter Season
• The 2024–2025 autumn/winter COVID-19 Vaccine effectiveness (VE) against COVID-19 hospitalisation
vaccine offered moderate protection among those aged 65 years and above, with 95% Confidence
Intervals
against hospitalisation in adults aged 65
and over, with some evidence of waning
of protection since time of vaccination
after 180 days.
• Over the winter period adjusted VE Waning of vaccine effectiveness against COVID-19 hospitalisation
against COVID-19 hospitalisation was in those aged 65 and above with 95% confidence intervals
42% (95%: 32- 50%) for those aged 65
and above.
• Vaccine effectiveness peaked at 15 to 59
days after vaccination at 44% (95%: 31-
55%), before decreasing to 30% (95%:
11- 45%), after more than 180 days.
Vaccine effectiveness of the maternal RSV vaccine
against severe disease in infants in Scotland
• Maternal RSV vaccine effectiveness was 82.9%
(95% CI: 75.9-87.8%) against RSV-associated lower
respiratory tract infection (LRTI) hospitalisation for
infants ≤90 when mothers were vaccinated at least Maternal RSV Vaccine Effectiveness (%) against RSV-related LRTI
14 days before their birth. hospitalisation in infants aged ≤90 days
• 228 (95%CI: 197-252) fewer RSV-related LRTI
hospitalisations in infants aged ≤90 days between
August 2024 and March 2025.
• Vaccine effectiveness high among preterm infants
(<37 weeks: 89.2%, 95%CI: 52.2-97.6) who are most
vulnerable to severe disease.
• Women who were vaccinated and gave birth within 14
days were not able to offer protection to their infants
against hospitalisation (29.6%, 95%CI: -19.6–58.6).
Conclusions
• ECOSS surveillance of COVID-19 shows low incidence in the year to date, with no large peaks observed unlike
previous seasons. However, infections are likely to increase towards the end of the year, and case positivity is
rising.
• Hospital, inpatient and ICU admissions remain at low levels for all age groups. For ICU, levels remained low
both when analysing positivity or reason for admission
• COVID-19 related mortality remains low. Most deaths are ed in hospitals, and no deaths were ed in care homes
•The COVID-19 vaccine offers effective protection against COVID-19 related hospitalisation in those aged over 65
years old. Protection peaked between 15 and 59 days, and remained up to 180 days.
• We have also been able to show, for the first time, that the RSV maternal vaccine is highly effective in preventing
RSV related hospitalisation in those aged up to 3 months, and in premature babies. There was no protection
against hospitalisation observed in those who gave birth within 14 days of receiving the RSV vaccine.
Use of pathogen-specific proxy
indicators in SiVIRA surveillance (Spain)
Susana Monge
National Centre of Epidemiology
Institute of Health Carlos III (ISCIII)
[email protected]
SiVIRA design in a nutshell
Syndromic surveillance Systematic surveillance
• All ARI/SARI cases • Oportunistic but representative sampling of all
• Based on extraction of diagnotic syndromic cases:
codes (ICPC, ICD) ✓ First 2-5 attending PC each week
✓ Admitted to hospital on pre-defined weekdays
• Triple PCR
• Virological characterisation if positive
• Additional information (clinical, vaccination)
Weeky ARI/SARI incidence rate Proportion positivity of ARI/SARI cases to:
✓ influenza
✓ SARS-CoV-2
✓ RSV
Estimating proxy indicators
proxy pathogen,week = ARI/SARI rate week x positivity pathogen, week
• Need to account for region, age and sex: Example of the PC network in one region
✓The size of the sentinel network varies by region
✓Neither the syndromic nor the systematic
samples necessarily have the same age
distribution as the population
✓Incidence rates are generally higher for females
in PC and for SARS-CoV-2 at hospitals for males
Estimating proxy indicators weekly
Strata region age- sex ARI/ Catchment Total Weighting Weighted Positivity pathogen-
(i) group SARI population population factor ARI/SARI (%) to specific
cases cases pathogen ARI/SARI cases
1 1 <1 F a1 b1 B1 w1 = B1/b1 aw,1 = a1*w1 p1 ap,1 = aw,1 *p1
2 1 <1 M a2 b2 B2 w2 = B2/b2 aw,2 = a2*w2 p2 ap,2 = aw,2 *p2
3 1 1-4 F a3 b3 B3 w3 = B3/b3 aw,3 = a3*w3 p3 ap,3 = aw,3 *p3
4 1 1-4 M a4 b4 B4 w4 = B4/b4 aw,4 = a4*w4 p4 ap,4 = aw,4 *p4
5 1 5-9 F a5 b5 B5 w5 = B5/b5 aw,5 = a5*w5 p5 ap,5 = aw,5 *p5
… … … … … … … … …
σ𝒊=𝑰
𝒊=𝟏 𝒂𝒑 𝒊
Weekly pathogen-specific-proxy = ,
σ𝒊=𝑰
𝒊=𝟏 𝑩𝒊
Advantages of pathogen-specific proxy indicators
• Syndromic surveillance is unspecific
• Positivity depends on what else is circulating (very low incidence of a single
pathogen may result in 100% positivity)
• High comparabilty across the three pathogens, flexibility to include others
• Only way for pathogens with unspecific clinical presentation (i.e. RSV in the
elderly)
Use of proxys for
ARI cases
routine surveillance
• COVID-19 summer wave
in Primary Care
SARS-CoV-2
positivity
proxy incidence
SARS-CoV-2
Use of proxys for
SARI cases
routine surveillance
• COVID-19 summer wave
at hospitals
SARS-CoV-2
positivity
SARS-CoV-2 proxy
hospitalisation
Use of proxys to estimate burden of disease
Primary care Hospitals
Use of proxys to estimate intensity and severity*
Primary care
* Not used for this objective in Spain, explotatory results prepared for this presentation
Challenges of pathogen-specific proxy indicators
• Unstability of positivity when using multiple strata → wider age-groups, statistical models
• The systematic sample is not truly representative of all syndromic cases
✓ Quality of coding in non-trained physicians
✓ Physicians preferably select for systematic testing ILI cases among all ARIs
✓ At hospitals, acute onset in the last 10 days is checked for systematically selected cases but
not for syndromic cases
• Influenza-ARI estimated with proxys is 2-3 times
higher that incidence of ILI
ILI vs. influenza-ARI-proxy
ILI codes-based influenza-ARI-proxy
Conclusions on pathogen-specific proxys
• Combined assessment of syndromic rates and positivity
• Relies on the asumption that testing is systematic
• Unstability in the positivity can result in unstable proxys
• Coherent assessment of the three viruses in PC and hospitals
• They may overestimate incidence compared to other indicators (ILI
incidence) - different things are being measured
• Complicates communication: different indicators
Acknowledgements
SiVIRA and RELECOV collaborators in the National Centre of Microbiology,
National Centre of Epidemiology and Spanish Autonomous Communities
Thank you for your attention!
Susana Monge
National Centre of Epidemiology
Institute of Health Carlos III (ISCIII)
[email protected],
[email protected]
Influenza trends in Malta
2022-W40 to 2025-W37
Presented by:
Dr. Maria-Louise Borg
Infectious Disease Control and Prevention Unit
Health Promotion and Disease Prevention Directorate
Ministry for Health and Active Ageing
Malta
18 September 2025
What are the possible driving
factors?
• Most densely populated
country in the EU
• Population of 574,250 (30% are
foreign)
• Over 10,600 new residents in
2024. 76% of them coming
from outside EU
• Increase of 38% in population
since 2011 and of 14% in the
last 5 years
• Largest age group in 20-39
years and males
• EU.
Mass gatherings
International festivals, concerts
and religious festas starting from
June till September
Travel (inbound and outbound)
• MT received 3,563,618 tourists in 2024, almost half a million more
than the year before.
• Very dynamic population with increased travel by residents
outside of Europe coupled with high influx of TCNs
Outbreaks in Institutions
• Outbreaks especially in healthcare facilities and in Homes of the
Elderly
• Lack of staff / HCWs
• High staff turn over compromising infection control training
• Challenges in isolation and containment due to lack of space
• LTCFs at full capacity
Other challenges
• Small MS – limited expertise and resources
• Tests carried out by centralised Molecular diagnostics lab at the
Pathology Dept of the main general hospital - primarily a clinical
lab and not PH
• Lack of capacity (HR and space) to be able to store samples and
perform WGS
• Strained healthcare system due to population increase
PH measures
• Vaccination campaigns held annually to encourage population,
especially vulnerable to take up Flu/COVID vaccination. Kick off
campaigns from October.
• Campaigns focused on respiratory illness prevention. These
campaigns emphasize the importance of staying home when
unwell, sneezing into a tissue, and frequent hand washing.
• Circular to doctors to alert and keep informed.
Case Definitions:
Influenza Case Hospitalisation
Patient who tested positive for influenza by RT-PCR. Hospital ward admission of patients who tested
Result is valid for 30 days unless different influenza positive for influenza within 14 days prior to admission
type/subtype is detected. or during hospitalisation period.
Readmissions are reported and included.
ICU admission Death
If patient was admitted to ICU ward during hospital Patient who died within 14 days after testing positive
admission in where patient tested positive for for influenza
influenza 14 days prior to admission or during OR
hospitalisation period prior or while being admitted to died as an outcome of hospital admission (where
ICU. patient tested positive for influenza 14 days prior to
admission or during hospitalisation period).
Cause of death is not reported quickly enough for timely
use.
Data include both SARI and non-SARI cases in Malta.
Thank you
Acknowledgements
IDCU Team: Tanya Melillo; Ausra Dziugyte
Pathology Department: Chris Barbara; Graziella Zahra
EpiPulse Cases – reporting PISA to RESPIQUAL
WHO Pandemic Influenza Severity Assessment (PISA)
• Assess severity of current influenza relative to previous years by using historical
data to set thresholds that then allow for the qualitative categorization of such
activity.
• Updated WHO PISA guidance published in May 2024
Option to report syndromic and/or influenza-specific assessments (except seriousness of
disease)
7 PISA indicators (4 influenza specific, 3 syndromic)
Expanded parameter lists for PISA indicators
French and Spanish versions published. Russian to follow shortly.
• PISA data collected in EpiPulse Cases from the 2025/26 season via RESPIQUAL subject
• Replacing collection of first version PISA indicators in TESSy
https://www.who.int/teams/global-
influenza-programme/surveillance-
and-monitoring/pandemic-influenza-
• Uploaded weekly to WHO/HQ by WHO/EURO and used in real time by both teams severity-assessment
• Global WHO dashboard for visualizing data (available via the PISA landing page once
launched)
45
WHO Pandemic Influenza Severity Assessment (PISA)
PISA update indicators Description (full description of parameters and Frequency of
methods in the guidance) submission
Transmissibility - influenza Measure of how many people get sick with influenza or Weekly
respiratory viruses and reflects the ease of movement of
Transmissibility - syndromic respiratory viruses between individuals and communities
Morbidity & mortality - influenza Measure of the level of serious disease and death in the
population due to influenza or acute respiratory disease
Morbidity & mortality - syndromic
Impact on healthcare capacity - influenza Describes of how the epidemic or pandemic is affecting
health care system capacity
Impact on healthcare capacity - syndromic
Seriousness of disease of influenza Describes the extent to which individuals become ill when Twice per season
infected with an influenza virus only (peak & end
weeks)
• All PISA indicators have supporting confidence and comment fields available for providing certainty and context to
submissions (also displayed on public facing global dashboard)
• Threshold approaches used to define 5 categories for 6 of 7 indicators (seriousness of disease has no baseline category):
No activity or below epidemic threshold<Low<Moderate<High<Extraordinary
46
WHO Pandemic Influenza Severity Assessment (PISA)
• Mapping of additional TESSy data planned to populate gaps in PISA reporting for
transmissibility indicators
Opt-out on request (
[email protected])
• Transmissibility – influenza
Influenza intensity qualitative indicator to populate indicator where no data submitted
for a season by a country
definition of intensity aligns with parameters for transmissibility - influenza
• Transmissibility – syndromic
Intensity levels of ILI or ARI data (preferential order) used to populate indicator
where no data submitted for a season by a country
• WHO/EURO can provide support in implementing PISA guidance and
threshold setting (MEM, WHO method or other preferred approach)
47
EpiPulse Cases Timeline
Year recordtypes/subject codes Approximate date
RESPIQUAL data Late September (launch)
2025
INFLZOO (zoonotic influenza subject codes)* Training September and October
RESPI (RESPIAGGR, RESPISURV, RESPISEVERE)
Approx. June (launch)
2026 SARI (SARISURV, SARISURVDENOM, INFLSARIAGGR)
Training May and June
INFLCLIN, INFLANTIVIR
48
EpiPulse Cases Timeline - RESPIQUAL
Date Activity
18 September Start-of-season webinar which includes a demo of EpiPulse Cases
19 September TESSy reporting of PISA variables is deactivated in INFLCLIN
23 September New subject code are launched in EpiPulse Cases. Data can now be reported.
30 September Network workshop EpiPulse Cases reporting for PISA data – live demo and Q&A
49
Access and permissions
The nominated users that currently have access to reporting routine respiratory virus
data to TESSy will have access for EpiPulse Cases reporting
Changing user access:
User Access
EU/EEA countries National Coordinator should nominate the user in ECDC
Stakeholder Relationship Management system (SRM)
Non-EU enlargement countries Check ECDC cooperation framework with your country for
with a cooperation frameworks in information on how to initiate nomination process
place
Other non-EU/EEA countries Please contact WHO Regional Office which then sends a
request by email to ECDC Country Cooperation
50
Reporting protocol
The latest reporting protocol can be downloaded from EpiPulse Cases platform. On the
support page, there will be a section for 'Respiratory viruses' with the reporting protocol and
other tools (e.g. webinar ings).
1
EVD example
The reporting protocol will also be available on the ECDC website (LINK).
Metadata – access the latest version
The latest metadata can be downloaded from EpiPulse Cases platform.
1
2
We encourage all users to always download the most up-to-date metadata and
reporting protocol to ensure you are looking at the most recent version.
52
Metadata - RESPIQUAL
Standard EPC variables
Variable name Description Coded Values
Health Topic The code of the health topic that is being reported RESPI = Respiratory viruses
Reporting Country The country reporting the
DELETE = Delete a previously reported .
Status Will be selected based on your entry when uploading data NEW/UPDATE = Update a previously reported
(default)
SubjectCode is a reporting model for a disease/health topic RESPIQUAL = Respiratory virus - qualitative
Subject Code
indicators
Unique identifier for each – selected and generated by the
National Id
country reporting the . --> Further detail in subsequent slides
The data source (surveillance system) that the originates from.
The DataSource value must be a special reference value from
Data Source
EpiPulse Cases metadata.
54
Metadata - RESPIQUAL
Epidemiological variables
Variable name Description Coded Values
The reference week (yyyy-Www) for the reported qualitative
Date used for statistics
indicator.
Pathogen or syndrome that applies. INFL = Influenza
Pathogen or syndrome
SYND = Syndromic
Surveillance type Type of surveillance system. PISA = PISA
IMPACT = Impact on healthcare capacity
Please select the qualitative indicator that you would like to
MORB = Morbidity and mortality
Qualitative indicator report. The reporting protocol includes considerations for each
SERIOUS = Seriousness of disease
qualitative indicator.
TRANS = Transmissibility
1 = No activity or below epidemic threshold
Please select the value corresponding to the selected 2 = Low
Qualitative value combination of pathogen/sydrome, surveillance type and 3 = Moderate
qualititive indicator. 4 = High
5 = Extraordinary
Level of confidence for the qualitative value reported for the H = High
Confidence selected combination of pathogen/sydrome, surveillance type L = Low
and qualititive indicator. M = Medium
Information should be included on any factors which may have
Comment
influenced the assessment.
55
Metadata - Example
Health Reporting DateUsed Pathogen Surveillance Qualitative Qualitative Confid
Status SubjectCode NationalId DataSource
Topic Country ForStatistics Syndrome Type Indicator Value ence
INFL2025-
RESPI CY NEW/UPDATE RESPIQUAL CY-RESPIQUAL 2025-W37 INFL PISA TRANS 2 M
W07PISATRANS
SYND2025-
RESPI CY NEW/UPDATE RESPIQUAL CY-RESPIQUAL 2025-W37 SYND PISA TRANS 3 M
W07PISATRANS
INFL2025-
RESPI CY NEW/UPDATE RESPIQUAL CY-RESPIQUAL 2025-W37 INFL PISA MORB 1 L
W07PISAMORB
SYND2025-
RESPI CY NEW/UPDATE RESPIQUAL CY-RESPIQUAL 2025-W37 SYND PISA MORB 1 L
W07PISAMORB
INFL2025-
RESPI CY NEW/UPDATE RESPIQUAL CY-RESPIQUAL 2025-W37 INFL PISA IMPACT 1 H
W07PISAIMPACT
SYND2025-
RESPI CY NEW/UPDATE RESPIQUAL CY-RESPIQUAL 2025-W37 SYND PISA IMPACT 1 L
W07PISAIMPACT
56
Metadata - Example
Health Reporting DateUsed Pathogen Surveillance Qualitative Qualitative Confid
Status SubjectCode NationalId DataSource
Topic Country ForStatistics Syndrome Type Indicator Value ence
INFL2025-
RESPI CY NEW/UPDATE RESPIQUAL CY-RESPIQUAL 2025-W37 INFL PISA TRANS 2 M
W07PISATRANS
SYND2025-
RESPI CY NEW/UPDATE RESPIQUAL CY-RESPIQUAL 2025-W37 SYND PISA TRANS 3 M
W07PISATRANS
INFL2025-
RESPI CY NEW/UPDATE RESPIQUAL CY-RESPIQUAL 2025-W37 INFL PISA MORB 1 L
W07PISAMORB
SYND2025-
RESPI CY NEW/UPDATE RESPIQUAL CY-RESPIQUAL 2025-W37 SYND PISA MORB 1 L
W07PISAMORB
INFL2025-
RESPI CY NEW/UPDATE RESPIQUAL CY-RESPIQUAL 2025-W37 INFL PISA IMPACT 1 H
W07PISAIMPACT
SYND2025-
RESPI CY NEW/UPDATE RESPIQUAL CY-RESPIQUAL 2025-W37 SYND PISA IMPACT 1 L
W07PISAIMPACT
Make sure the NationalID is unique to each row reporting. In this example,
PathogenSyndrome, DateUsedForStatistics, SurveillanceType and QualitativeIndicator are
combined to make create the NationalId.
57
Training session for EpiPulse Cases -
RESPIQUAL
European Centre for Disease Prevention and Control
Training session for EpiPulse Cases -
RESPIQUAL
Agenda
EpiPulse Cases DEM O
Access and general navigation
Reporting options
Data preparation
Upload and technical validation
EpiPulse Cases Data validation report
Approval or Rejection of submitted data
Post go-live support description and where to contact us
Q&A
EpiPulse Cases Training 2
EpiPulse Cases live demo
Where to find Reporting Upload and EPC Data
General Approval or
Options Prepare data tech validation
EpiPulse Cases Navigation Rejection
validation report
Where to find
EpiPulse Cases
EpiPulse Cases Training 3
EpiPulse Cases login and access
External users need to use this
window to add their credentials
Login
Users can use the following url
https://epipulse.ecdc.europa.eu/epipulsecases/app/
and get redirected to the login page
EpiPulse Cases Training 4
EpiPulse Cases and TESSy
Access is still available in both EpiPulse Cases and TESSy applications and recordtypes NOT yet migrated
in EpiPulse Cases will still be reported in TESSy. The latest version of TESSy metadata contains the list with
all diseases and subject codes (record types) to be reported there.
As metadata format is different between EpiPulse Cases and TESSy, if you report TESSy data to EpiPulse Cases
(or the other way around), the validation will fail.
EpiPulse Cases Training 5
EpiPulse Cases and TESSy
The platforms have a different look and feel!
EpiPulse Cases Training 6
EpiPulse Cases live demo
Where to find Reporting Upload and EPC Data
General Approval or
Options Prepare data tech validation
EpiPulse Cases Navigation Rejection
validation report
General navigation
EpiPulse Cases Training 7
EpiPulse Cases main page
EpiPulse Cases Training 8
EpiPulse Cases live demo
Where to find Reporting Upload EPC Data Approval
Help General Prepare
Options and tech validation or
EpiPulse Cases documentation Navigation data
validation report Rejection
Reporting options
EpiPulse Cases Training 9
EpiPulse Cases reporting options
EpiPulse Cases Training 10
Manually create a record wizard
EpiPulse Cases Training 11
Manually create a record wizard
Preview and Submit
EpiPulse Cases Training 12
Steps for reporting to EpiPulse Cases Status workflow for an
approved submission
Report data
• prepare data according to metadataset
Prepare • csv or other file, or manual entry
Get the status Tech
validation successful
• upload data in EpiPulse Cases
• validate data against metadata rules
• review errors and warnings
Upload and Start Data validation
• correct any errors/re-submit
validate process
• start EpiPulse Cases data validation and generate the EpiPulse Cases data validation report
• review inconsistencies (metadata + cross-field)
Get the status Data
• check the completeness section validation report ready
Analyse
• check the overview section
and review
Review the data validation
report and Approve
• If validation OK, approve
• If validation not OK, reject, correct data, upload+check again
Finalise Get the status Data
change approved
EpiPulse Cases Training 13
EpiPulse Cases live demo
Where to find Reporting Upload and EPC Data
General Approval or
Options Prepare data tech validation
EpiPulse Cases Navigation Rejection
validation report
Prepare data
EpiPulse Cases Training 14
EpiPulse Cases
Upload and Analyse
Prepare Finalise
validate and review
Prepare – Creating and editing a CSV
• Assure the content of the file (variables and reference data) is the same with the latest metadata version
available in the Help menu
• Make sure your file is CSV, XML or ZIP of CSV and XML
• Check that your file size is up to 4GB
• If you manually edit the CSV file pay attention to date formatting when saving. Windows and Mac regional
settings might affect date formatting when editing and saving CSVs with Excel (check the EpiPulse Cases guide
to find the best alternatives on how to edit CSVs.)
EpiPulse Cases Training 15
EpiPulse Cases live demo
Where to find Reporting Upload EPC Data Approval
Help General Prepare
Options and tech validation or
EpiPulse Cases documentation Navigation data
validation report Rejection
Upload and Tech validation
(error management)
EpiPulse Cases Training 17
EpiPulse Cases
Upload and Analyse
Prepare Finalise
validate and review
Upload and validate
• Make sure you add your start and end reporting dates
• If the status of your submission after upload is Tech validation failed, click on the status,
open the timeline pop-up and check the errors and warnings identified. Make sure you correct
all the errors and address all the warnings
• If the status of your submission after upload is Tech validation successful you can start the
EpiPulse Cases data validation process and view the EpiPulse Cases data validation report
EpiPulse Cases Training 18
EpiPulse cases – Tech validation traps
Tech validation failed status suggests that errors were identified in the submitted CSV file. To solve
the errors the tech validation messages must be verified to understand the type and the location of the
errors inside the file
Most frequently error types:
• Wrong date format or wrong date order:
• Missing permissions to submit data:
EpiPulse Cases Training 19
EpiPulse Cases – steps to follow to solve Tech
validation errors
1. Click on the status value (Tech validation failed) and the Details tab will open
2. In the Details tab you will see a status timeline, click on the ‘View errors’ button in the Tech
validation failed box
3. Carefully read the error messages and solutions or download the Error csv file
4. Correct the errors in the original data
5. Upload the corrected CSV file with corrected data
EpiPulse Cases Training 20
EpiPulse Cases live demo
Where to find Reporting Upload EPC Data Approval
Help General Prepare
Options and tech validation or
EpiPulse Cases documentation Navigation data
validation report Rejection
EpiPulse Cases Data
validation report
(data quality management)
EpiPulse Cases Training 21
EpiPulse Cases
Upload and Analyse
Prepare Finalise
validate and review
Review the analysis results and finalise with the approval or rejection of your
submission
• Before finalising the submission, make sure you review all sections of the EpiPulse Cases
data validation report and identify any unwanted data quality issues
• The last step in the entire submission process is the Approval or Rejection of the submitted
data. This can be done only by users with the Approve role active
• The confirmation of approval will save the submitted data and will make it available for
future analysis
• The confirmation of rejection will remove the submitted data and will permit users to
address potential issues identified during data validation and repeat the submission
EpiPulse Cases Training 22
EpiPulse Cases data validation report
EpiPulse Cases Training 23
EpiPulse Cases live demo
Where to find Reporting Upload and EPC Data
General Approval or
Options Prepare data tech validation
EpiPulse Cases Navigation Rejection
validation report
Approval or Rejection
EpiPulse Cases Training 24
EpiPulse Cases data validation report approval
EpiPulse Cases Training 25
Live demo of EpiPulse
Cases
EpiPulse Cases Training 26
Support
EpiPulse Cases Training 27
EpiPulse Cases - user guides and support
Materials available in the EpiPulse platform help menu, under EpiPulse Cases:
• Application guides
• Application video tutorials
• Relevant documentation for each disease group (metadata, submission templates, reporting protocols etc.)
Dedicated support offered via the EpiPuls eCa s es @ecdc.europa .eu mailbox
• A dedicated team will monitor the EpiPulse Cases mailbox and will respond to all questions or concerns sent via e-mail
Active monitoring of all submissions
• A dedicated team will monitor the submissions made by each country and will flag and follow-up any unexpected behavior
Continuous improvement
• EpiPulse Cases application development will continue, and any unexpected behavior will be analysed and fixed in next versions or hotfixes
EpiPulse Cases Training 28
EpiPulse Cases Help section
EpiPulse Cases Training 29
Questions and answers
EpiPulse Cases Training 30