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Diggle P. J., Thomson M. C., Christensen O. F., Rowlingson B., Obsomer V., Gardon Jacques, Wanji S., Takougang I., Enyong P., Kamgno J., Remme J. H., Boussinesq Michel, Molyneux D. H. Spatial modelling and the prediction of Loa loa risk : Decision making under uncertainty. Annals of Tropical Medicine and Parasitology, 2007, 101 (6), p. 499-509. ISSN 0003-4983

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Lien direct chez l'éditeur doi:10.1179/136485907X229121

TitreSpatial modelling and the prediction of Loa loa risk : Decision making under uncertainty
Année de publication2007
Type de documentArticle référencé dans le Web of Science : 000249554100007
AuteursDiggle P. J., Thomson M. C., Christensen O. F., Rowlingson B., Obsomer V., Gardon Jacques, Wanji S., Takougang I., Enyong P., Kamgno J., Remme J. H., Boussinesq Michel, Molyneux D. H.
SourceAnnals of Tropical Medicine and Parasitology, 2007, 101 (6), p. 499-509. ISSN 0003-4983
RésuméHealth decision-makers working in Africa often need to act for millions of people over large geographical areas on little and uncertain information. Spatial statistical modelling and Bayesian inference have now been used to quantify the uncertainty in the predictions of a regional, environmental risk map for Loa loa ( a map that is currently being used as an essential decision tool by the African Programme for Onchocerciasis Control). The methodology allows the expression of the probability that, given the data, a particular location does or does not exceed a predefined high-risk threshold for which a change in strategy for the delivery of the antihelmintic ivermectin is required.
LocalisationFonds IRD [F B010040793]
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