Mapping the probability of schistosomiasis and associated uncertainty, West Africa.
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.
Clements
Archie C A
AC
School of Population Health, University of Queensland, Herston, Queensland, Australia. a.clements@uq.edu.au
Garba
Amadou
A
Sacko
Moussa
M
Touré
Seydou
S
Dembelé
Robert
R
Landouré
Aly
A
Bosque-Oliva
Elisa
E
Gabrielli
Albis F
AF
Fenwick
Alan
A
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*
D000871:Anthelmintics; D011223:Praziquantel