Garba, AmadouSacko, MoussaTouré, SeydouDembelé, RobertLandouré, AlyBosque-Oliva, ElisaGabrielli, Albis FFenwick, AClements, Archie2015-12-131080-6040http://hdl.handle.net/1885/74485We aimed to map the probability of Schistosoma haematobium infection being >50%, a threshold for annual mass praziquantel distribution. Parasitologic surveys were conducted in Burkina Faso, Mali, and Niger, 2004-2006, and predictions were made by using Bayesian geostatistical models. Clusters with >50% probability of having >50% prevalence were delineated in each country.Keywords: Africa; article; Bayes theorem; health program; health survey; infection control; prevalence; probability; Schistosoma hematobium; schistosomiasis; Adolescent; Africa, Western; Animals; Anthelmintics; Bayes Theorem; Humans; Male; Models, Statistical; Nati200810.3201/eid1410.0803662015-12-11