@article{Agyei-Manu_E-2025_203973,
title = {Characteristics of influenza, SARS-CoV-2, and RSV surveillance systems that utilise ICD-coded data: A systematic review},
author = {Agyei-Manu, E. and Atkins, N. and Nundy, M. and St-Jean, C. and Gornall-Wick, A. and Birley, E. and De Silva, U. and Krishan, P. and Vokey, L. and Dozier, M. and McSwiggan, E. and McQuillan, R. and Theodoratou, E. and Shi, T. and UNCOVER Applied Evidence Synthesis Group},
month = {may},
year = {2025},
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.},
volume = {15},
journal = {Journal of Global Health},
publisher = {International Society of Global Health},
url = {https://doi.org/10.7189/jogh.15.04177},
}
