Use of Bayesian geostatistical prediction to estimate local variations in Schistosoma haematobium infection in western Africa

OBJECTIVE: To predict the subnational spatial variation in the number of people infected with Schistosoma haematobium in Burkina Faso, Mali and the Niger prior to national control programmes. METHODS: We used field survey data sets covering a contiguous area 2750 × 850 km and including 26 790 school...

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Bibliographic Details
Main Authors: Clements, Archie CA, Firth, Sonja, Dembelé, Robert, Garba, Amadou, Touré, Seydou, Sacko, Moussa, Landouré, Aly, Bosqué-Oliva, Elisa, Barnett, Adrian G, Brooker, Simon, Fenwick, Alan
Format: Artigo
Language:Inglês
Published: World Health Organization 2009
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Research
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC2789361/
https://ncbi.nlm.nih.gov/pubmed/20454483
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2471/BLT.08.058933
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