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

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: 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
Format: Article
Language:English
Published: The World Health Organization 2009-12-01
Series:Bulletin of the World Health Organization
Online Access:http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862009001200012&lng=en&tlng=en

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http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862009001200012&lng=en&tlng=en

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