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

• Ngā kaituhi matua: Archie CA Clements (Author), Sonja Firth (Author), Robert Dembelé (Author), Amadou Garba (Author), Seydou Touré (Author), Moussa Sacko (Author), Aly Landouré (Author), Elisa Bosqué-Oliva (Author), Adrian G Barnett (Author), Simon Brooker (Author), Alan Fenwick (Author)
• Hōputu: Pukapuka
• I whakaputaina: The World Health Organization, 2009-12-01T00:00:00Z.
• Ngā marau: article
• Urunga tuihono: Connect to this object online.

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...