Evidence map›Paper›PMID 40406976›Full record

SynthesisJournal of global health2025

Characteristics of influenza, SARS-CoV-2, and RSV surveillance systems that utilise ICD-coded data: a systematic review.

Eldad Agyei-Manu, Nadege Atkins, Madhurima Nundy, Christa St-Jean, Alice Gornall-Wick, Emma Birley, Udani De Silva, Prerna Krishan, Laura Vokey, Marshall F Dozier and 5 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Eldad Agyei-Manu *Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Nadege Atkins *Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Madhurima Nundy *Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Christa St-JeanCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Alice Gornall-WickCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Emma BirleyCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Udani De SilvaCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Prerna KrishanCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Laura VokeyCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Marshall F DozierInformation Services, University of Edinburgh, Edinburgh, Scotland, UK.
Emilie McSwigganCentre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Ruth McQuillanCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Evropi TheodoratouCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Ting ShiCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK.
UNCOVER Applied Evidence Synthesis group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Some surveillance systems for influenza, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and respiratory syncytial virus (RSV) utilise International Classification of Diseases (ICD)-coded data and are useful for analysing trends and enhancing quick, evidence-based decisions against the epidemic potential that threatens global health security. With variations in the design of systems globally, the World Health Organization requested a systematic review to identify key characteristics of influenza, SARS-CoV-2, and RSV surveillance systems that utilise ICD-coded data, and to assess their performance. Methods: We searched EMBASE, MEDLINE, and Global Health to identify relevant studies reporting on influenza, SARS-CoV-2, and RSV surveillance systems that use ICD-coded data. We independently assessed studies for the ICD codes used, their statistical estimates and limitations. We appraised included studies using Joana Briggs Institute's critical appraisal tools and synthesised using narrative synthesis. Results: We identified 77 studies, reporting on 71 surveillance systems - 33 systems recorded surveillance data only, 15 systems recorded burden of disease data only, and 23 systems recorded both surveillance and burden of disease data. Surveillance systems utilised ICD-10 codes (75%), ICD-9 codes (22%), or both (3%). ICD-10 codes J09 and J10 were frequently used for influenza, U07.1 for COVID-19, and B97.4, J12.1, J20.5, and J21.0 for RSV. ICD-9 codes 487 and 488 were mostly used for influenza, and codes 466.11 and 480.1 for RSV. ICD-10 codes had low-to-moderate sensitivity (6.60-79.87%) and high specificity (97.40-99.72%) for influenza, low-to-high sensitivity (30.00-98.4%) and specificity (39.50-99.80%) for COVID-19, and low-to-high sensitivity (6.00-99.80%) and specificity (12.10-100.00%) for RSV. ICD-9 codes had low sensitivity (45.60%) and high specificity (97.90%) for influenza. Underestimation of infections or mortality attributable to influenza, SARS-CoV-2, or RSV is a major limitation to using ICD-coded data across surveillance systems. Conclusions: The performance of ICD codes for syndromic- or disease-specific surveillance remains inconclusive, although using only ICD-coded data within these systems may underestimate influenza, SARS-CoV-2, or RSV-attributable morbidity and mortality. Future studies should assess the accuracy of ICD code combinations for surveillance of influenza, SARS-CoV-2, and RSV.

Indexed as

COVID-19Influenza, HumanInternational Classification of DiseasesPopulation SurveillanceRespiratory Syncytial Virus InfectionsGlobal HealthHumansSARS-CoV-2

Identifiers

PMID40406976
PMCPMC12100576

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.