A Bayesian approach for estimating typhoid fever incidence from large-scale facility-based passive surveillance data

A Bayesian approach for estimating typhoid fever incidence from large-scale facility-based passive surveillance data

Decisions about typhoid fever prevention and control are based on estimates of typhoid incidence and their uncertainty. Lack of specific clinical diagnostic criteria, poorly sensitive diagnostic tests, and scarcity of accurate and complete datasets contribute to difficulties in calculating age-speci...

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Bibliographic Details
Main Authors: Maile T. Phillips, James E. Meiring, Merryn Voysey, Joshua L. Warren, Stephen Baker, Buddha Basnyat, John D. Clemens, Christiane Dolecek, Sarah J. Dunstan, Gordon Dougan, Melita A. Gordon, Deus Thindwa, Robert S. Heyderman, Kathryn E. Holt, Firdausi Qadri, Andrew J. Pollard, Virginia E. Pitzer
Other Authors: NIHR Oxford Biomedical Research Centre
Format: Article
Published: 2022
Subjects:
Mathematics
Medicine
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/77377
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Institution: Mahidol University

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https://repository.li.mahidol.ac.th/handle/123456789/77377

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