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Inferring temporal trends of multiple pathogens, variants, subtypes or serotypes from routine surveillance data

2024-11-04

Abstract excerpt

Estimating the temporal trends in infectious disease activity is crucial for monitoring disease spread and the impact of interventions. Surveillance indicators routinely collected to monitor these trends are often a composite of multiple pathogens. For example, ‘influenza-like illness’ — routinely monitored as a proxy for influenza infections — is a symptom definition that could be caused by a wide range of pathog...

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Literature Corpus work
fb279e93-b2b5-54cf-8e8b-accc4a184296
DOI
10.1101/2024.11.03.24316681
Open publication

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Inferring temporal trends of multiple pathogens, variants, subtypes or serotypes from routine surveillance dataDOI 10.1101/2024.11.03.24316681
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