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Spatial Distribution and Habitat Characterisation of Anopheles Larvae along the Kenyan Coast

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dc.contributor.author Mwangangi, Joseph M
dc.contributor.author Mbogo, Charles M.
dc.contributor.author Muturi, Ephantus J.
dc.contributor.author Nzovu, Joseph G.
dc.contributor.author Githure, John I
dc.contributor.author Yan, Guiyun
dc.contributor.author Minakawa, Noboru
dc.contributor.author Novak, Robert J
dc.contributor.author Beier, John C
dc.date.accessioned 2017-09-21T08:56:18Z
dc.date.available 2017-09-21T08:56:18Z
dc.date.issued 2007
dc.identifier.uri http://hdl.handle.net/123456789/601
dc.identifier.uri https://www.ncbi.nlm.nih.gov/pubmed/17378216
dc.description Journal of Vector Borne Diseases en_US
dc.description.abstract Background & objectives: A study was conducted to characterise larval habitats and to determine spatial heterogeneity of the Anopheles mosquito larvae. The study was conducted from May to June 1999 in nine villages along the Kenyan coast. Methods: Aquatic habitats were sampled by use of standard dipping technique. The habitats were characterised based on size, pH, distance to the nearest house, coverage of canopy, surface debris, algae and emergent plants, turbidity, substrate, and habitat type. Results: A total of 110 aquatic habitats like stream pools (n = 10); puddles (n = 65); tire tracks (n = 5); ponds (n = 5) and swamps (n = 25) were sampled in nine villages located in three districts of the Kenyan coast. A total of 7,263 Anopheles mosquito larvae were collected, 63.9% were early instars and 36.1% were late instars. Morphological identification of the III and IV instar larvae by use of microscopy yielded 90.66% (n = 2,377) Anopheles gambiae Complex, 0.88% (n = 23) An. funestus, An. coustani 7.63% (n = 200), An. rivulorum 0.42% (n = 11), An. pharoensis 0.19% (n = 5), An. swahilicus 0.08% (n = 2), An. wilsoni 0.04% (n = 1) and 0.11% (n = 3) were unidentified. A subset of the An. gambiae Complex larvae identified morphologically, was further analysed using rDNA-PCR technique resulting in 68.22% (n = 1,290) An. gambiae s.s., 7.93% (n = 150) An. arabiensis and 23.85% (n = 451) An. merus. Multiple logistic regression model showed that emergent plants (p = 0.019), and floating debris (p = 0.038) were the best predictors of An. gambiae larval abundance in these habitats. Interpretation & conclusion: Habitat type, floating debris and emergent plants were found to be the key factors determining the presence of Anopheles larvae in the habitats. For effective larval control, the type of habitat should be considered and most productive habitat type be given a priority in the mosquito abatement programme. en_US
dc.description.sponsorship NIH grants U19 AI45511, D43 TW01142, and D43 TW00920. en_US
dc.publisher Kenya Medical Research Institute (KEMRI) en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Anopheles gambiae en_US
dc.subject habitat characterisation en_US
dc.subject rDNA en_US
dc.subject PCR technique en_US
dc.subject spatial heterogeneity en_US
dc.title Spatial Distribution and Habitat Characterisation of Anopheles Larvae along the Kenyan Coast en_US
dc.type Article en_US


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