Bias in control selection associated with the use of rapid tests in influenza vaccine effectiveness studies

In TND studies using rapid tests, reduced sensitivity affects both case-control classification and control group exclusions, potentially causing bias. New methods for these biases could help to adapt participatory cohorts for the monitoring of VE for influenza, COVID-19, and respiratory syncytial virus.

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Publication Details

Journal
International Journal of Epidemiology
Published
2025-05-24
DOI
https://doi.org/10.1093/ije/dyaf089
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Bias in control selection associated with the use of rapid tests in influenza vaccine effectiveness studies

Malik Peiris, Samuel M. S. Cheng, Sheena G. Sullivan, Caitriona Murphy et al.
1 links
International Journal of Epidemiology
Influenza Virus Research Studies
article

Bias in control selection associated with the use of rapid tests in influenza vaccine effectiveness studies

Malik Peiris, Samuel M. S. Cheng, Sheena G. Sullivan, Caitriona Murphy, Eero Poukka, Benjamin J. Cowling, Loretta Mak, Tim K. Tsang
article en

Abstract

In TND studies using rapid tests, reduced sensitivity affects both case-control classification and control group exclusions, potentially causing bias. New methods for these biases could help to adapt participatory cohorts for the monitoring of VE for influenza, COVID-19, and respiratory syncytial virus.

International Journal of EpidemiologyVol. 54(4)
University of Helsinki (FI), University of California, Los Angeles (US), Hong Kong Science and Technology Parks Corporation (HK), Finnish Institute for Health and Welfare (FI), Monash University (AU), University of Hong Kong (HK)
Good health and well-being
Openalex Percentile: Top 78%
Influenza Virus Research Studies
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Bias in control selection associated with the use of rapid tests in influenza vaccine effectiveness studies — Malik Peiris, Samuel M. S. Cheng, et al. · International Journal of Epidemiology (2025) | TGRS Research Map | TGRS