Mapping potential Anopheles gambiae s.l.larvaldistribution using remotely sensed climatic andenvironmental variables in Baringo, Kenya

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dc.contributor.author Amadi, J A.
dc.contributor.author Ong'amo, G O.
dc.contributor.author Olago, D O.
dc.contributor.author Oriaso, S O.
dc.contributor.author Nyamongo, I K.
dc.contributor.author Estambale, Benson B.
dc.date.accessioned 2018-06-25T12:22:35Z
dc.date.available 2018-06-25T12:22:35Z
dc.date.issued 2018-06-21
dc.identifier.uri https://onlinelibrary.wiley.com/doi/epdf/10.1111/mve.12312
dc.identifier.uri http://ir.jooust.ac.ke:8080/xmlui/handle/123456789/1324
dc.description doi: 10.1111/mve.12312 en_US
dc.description.abstract Anopheles gambiae s.l. (Diptera: Culicidae) is responsible for the transmission of the devastating Plasmodium falciparum (Haemosporida: Plasmodiidae) strain of malaria in Africa. This study investigated the relationship between climate and environmental conditions and An. gambiae s.l. larvae abundance and modelled the larval distribution of this species in Baringo County, Kenya. Mosquito larvae were collected using a 350-mL dipper and a pipette once per month from December 2015 to December 2016. A random forest algorithm was used to generate vegetation cover classes. A negative binomial regression was used to model the association between remotely sensed climate (rainfall and temperature) and environmental (vegetation cover, vegetation health, topographic wetness and slope) factors and An. gambiae s.l. for December 2015. Anopheles gambiae s.l. was significantly more frequent in the riverine zone (P < 0.05, r = 0.59) compared with the lowland zone. Rainfall (b = 6.22, P < 0.001), slope (b = - 4.81, P = 0.012) and vegetation health (b = - 5.60, P = 0.038) significantly influenced the distribution of An. gambiae s.l. larvae. High An. gambiae s.l. abundance was associated with cropland and wetland environments. Effective malaria control will require zone-specific interventions such as a focused dry season vector control strategy in the riverine zone. en_US
dc.language.iso en en_US
dc.publisher PubMed en_US
dc.subject Anopheles gambiae s.l en_US
dc.subject climate en_US
dc.subject environmental factors en_US
dc.subject remote sensing en_US
dc.title Mapping potential Anopheles gambiae s.l.larvaldistribution using remotely sensed climatic andenvironmental variables in Baringo, Kenya en_US
dc.type Article en_US


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