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...

Podrobná bibliografie
Hlavní autoři:	Phillips, MT, Meiring, JE, Voysey, M, Warren, JL, Baker, S, Basnyat, B, Clemens, JD, Dolecek, C, Dunstan, SJ, Dougan, G, Gordon, MA, Thindwa, D, Heyderman, RS, Holt, KE, Qadri, F, Pollard, AJ, Pitzer, VE
Další autoři:	STRATAA Study Group
Médium:	Journal article
Jazyk:	English
Vydáno:	Wiley 2021

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