title: Mapping the probability of schistosomiasis and associated uncertainty, West Africa.
abstract: We 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.
authors.affiliation: School of Population Health, University of Queensland, Herston, Queensland, Australia. a.clements@uq.edu.au
authors.forename: Archie C A
authors.initials: AC
authors.lastname: Clements
authors.forename: Amadou
authors.initials: A
authors.lastname: Garba
authors.forename: Moussa
authors.initials: M
authors.lastname: Sacko
authors.forename: Seydou
authors.initials: S
authors.lastname: Touré
authors.forename: Robert
authors.initials: R
authors.lastname: Dembelé
authors.forename: Aly
authors.initials: A
authors.lastname: Landouré
authors.forename: Elisa
authors.initials: E
authors.lastname: Bosque-Oliva
authors.forename: Albis F
authors.initials: AF
authors.lastname: Gabrielli
authors.forename: Alan
authors.initials: A
authors.lastname: Fenwick
mesh_terms: D000293:Adolescent; D000354:Africa, Western / Q000453:epidemiology; D000818:Animals; D000871:Anthelmintics / Q000008:administration & dosage; D001499:Bayes Theorem; D006801:Humans; D008297:Male; D015233:Models, Statistical; D009313:National Health Programs; D011223:Praziquantel / Q000008:administration & dosage; D011336:Probability; D012548:Schistosoma haematobium / Q000302:isolation & purification; D012553:Schistosomiasis haematobia / Q000453:epidemiology* / Q000517:prevention & control*
chemical_list: D000871:Anthelmintics; D011223:Praziquantel