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Bayesian geostatistical prediction of the intensity of infection with Schistosoma mansoni in East Africa

A Bayesian geostatistical model was developed to predict the intensity of infection with Schistosoma mansoni in East Africa. Epidemiological data from purposively-designed and standardized surveys were available for 31,458 schoolchildren (90% aged between 6-16 years) from 459 locations across the re...

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Hlavní autoři: CLEMENTS, ARCHIE C.A., MOYEED, RANA, BROOKER, SIMON
Médium: Artigo
Jazyk:Inglês
Vydáno: 2006
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC1783909/
https://ncbi.nlm.nih.gov/pubmed/16953953
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1017/S0031182006001181
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