Mapping the probability of schistosomiasis and associated uncertainty, West Africa

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 wit...

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Veröffentlicht in:Emerging infectious diseases 2008-10, Vol.14 (10), p.1629-1632
Hauptverfasser: Clements, Archie C A, Garba, Amadou, Sacko, Moussa, Touré, Seydou, Dembelé, Robert, Landouré, Aly, Bosque-Oliva, Elisa, Gabrielli, Albis F, Fenwick, Alan
Format: Artikel
Sprache:eng
Schlagworte:
Adolescent
Africa, Western - epidemiology
Animals
Anthelmintics - administration & dosage
Bayes Theorem
Bayesian methods
Burkina Faso
Dispatch
Health aspects
Humans
Infection
Male
Models, Statistical
National Health Programs
Praziquantel - administration & dosage
Probability
Schistosoma haematobium - isolation & purification
Schistosomiasis
Schistosomiasis haematobia - epidemiology
Schistosomiasis haematobia - prevention & control
spatial analysis
uncertainty
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Zusammenfassung: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.
ISSN:1080-6040
1080-6059
DOI:10.3201/eid1410.080366