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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Autori principali:	Archie CA Clements, Sonja Firth, Robert Dembelé, Amadou Garba, Seydou Touré, Moussa Sacko, Aly Landouré, Elisa Bosqué-Oliva, Adrian G Barnett, Simon Brooker, Alan Fenwick
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	The World Health Organization 2009-12-01
Serie:	Bulletin of the World Health Organization
Accesso online:	http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862009001200012&lng=en&tlng=en
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