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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The World Health Organization,
2009-12-01T00:00:00Z.
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