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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...
Bewaard in:
| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2006
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| Onderwerpen: | |
| Online toegang: | 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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