Article

A Bayesian latent-class model framework to estimate disease burden of respiratory syncytial virus using imperfect and heterogeneous laboratory diagnostic data

2026-03-25

Abstract excerpt

<h4>Background</h4> Accurate estimation of respiratory syncytial virus (RSV) disease burden is challenged by the imperfect testing performance that varies by clinical specimens, diagnostic tests, and timing of specimen collection. Although the use of multiple testing approaches (such as testing multiple clinical specimens or additional diagnostic tests) could increase the RSV detection, there is absence of a mode...

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Literature Corpus work: b1254da7-d20a-5e35-b74d-cdc3fa1ab92c
DOI: 10.64898/2026.03.24.26349146

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