High spatial resolution mapping of malaria transmission risk in The Gambia, West Africa, using landsat TM satellite imagery

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dc.contributor.author Bogh, Claus
dc.contributor.author Lindsay, Steven W.
dc.contributor.author Clarke, Sian E.
dc.contributor.author Dean, Andy
dc.contributor.author Jawara, Musa
dc.contributor.author Pinder, Margaret
dc.contributor.author Thomas, Christopher J.
dc.date.accessioned 2008-12-04T12:27:16Z
dc.date.available 2008-12-04T12:27:16Z
dc.date.issued 2007-05
dc.identifier.citation Bogh , C , Lindsay , S W , Clarke , S E , Dean , A , Jawara , M , Pinder , M & Thomas , C J 2007 , ' High spatial resolution mapping of malaria transmission risk in The Gambia, West Africa, using landsat TM satellite imagery ' American Journal of Tropical Medicine and Hygiene , vol 76 , no. 5 , pp. 875-881 . en
dc.identifier.issn 0002-9637
dc.identifier.other PURE: 94253
dc.identifier.other dspace: 2160/1344
dc.identifier.uri http://hdl.handle.net/2160/1344
dc.identifier.uri http://www.ajtmh.org/cgi/content/abstract/76/5/875 en
dc.description Bogh, C., Lindsay, S. W., Clarke, S. E., Dean, A., Jawara, M., Pinder, M., Thomas, C. J. (2007). High spatial resolution mapping of malaria transmission risk in The Gambia, West Africa, using landsat TM satellite imagery. The American Journal of Tropical Medicine and Hygiene, 76 (5), 875-881. Sponsorship: Danida (RUF), Knud Højgaards Fond / DBL-Institute for Health Research and Development RAE2008 en
dc.description.abstract Understanding local variability in malaria transmission risk is critically important when designing intervention or vaccine trials. Using a combination of field data, satellite image analysis, and GIS modeling, we developed a high-resolution map of malaria entomological inoculation rates (EIR) in The Gambia, West Africa. The analyses are based on the variation in exposure to malaria parasites experienced in 48 villages in 1996 and 21 villages in 1997. The entomological inoculation rate (EIR) varied from 0 to 166 infective bites per person per rainy season. Detailed field surveys identified the major Anopheles gambiae s.l. breeding habitats. These habitats were mapped by classification of a LANDSAT TM satellite image with an overall accuracy of 85%. Village EIRs decreased as a power function based on the breeding areas size and proximity. We use this relationship and the breeding habitats to map the variation in EIR over the entire 2500-km2 study area. en
dc.format.extent 7 en
dc.language.iso eng
dc.relation.ispartof American Journal of Tropical Medicine and Hygiene en
dc.title High spatial resolution mapping of malaria transmission risk in The Gambia, West Africa, using landsat TM satellite imagery en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.contributor.institution Institute of Biological, Environmental and Rural Sciences en
dc.description.status Peer reviewed en


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