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Bayesian spatial risk prediction of Schistosoma mansoni infection in western Cote d'Ivoire using a remotely-sensed digital elevation model

Beck-Woerner, Christian and Raso, Giovanna and Vounatsou, Penelope and N`Goran, Eliezer K. and Rigo, Gergely and Parlow, Eberhard and Utzinger, Juerg. (2007) Bayesian spatial risk prediction of Schistosoma mansoni infection in western Cote d'Ivoire using a remotely-sensed digital elevation model. American journal of tropical medicine and hygiene, Vol. 76, H. 5. pp. 956-963.

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Official URL: http://edoc.unibas.ch/dok/A5248976

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Abstract

An important epidemiologic feature of schistosomiasis is the focal distribution of the disease. Thus, the identification of high-risk communities is an essential first step for targeting interventions in an efficient and cost-effective manner. We used a remotely-sensed digital elevation model (DEM), derived hydrologic features (i.e., stream order, and catchment area), and fitted Bayesian geostatistical models to assess associations between environmental factors and infection with Schistosoma mansoni among more than 4,000 school children from the region of Man in western Cote d`Ivoire. At the unit of the school, we found significant correlations between the infection prevalence of S. mansoni and stream order of the nearest river, water catchment area, and altitude. In conclusion, the use of a freely available 90 m high-resolution DEM, geographic information system applications, and Bayesian spatial modeling facilitates risk prediction for S. mansoni, and is a powerful approach for risk profiling of other neglected tropical diseases that are pervasive in the developing world.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Ehemalige Einheiten Umweltwissenschaften > Meteorologie (Parlow)
UniBasel Contributors:Parlow, Eberhard
Item Type:Article
Article Subtype:Research Article
Publisher:Williams and Wilkins
ISSN:0002-9637
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:22 Mar 2012 14:28
Deposited On:22 Mar 2012 14:03

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