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dc.contributor.authorAmadi, J A.
dc.contributor.authorOng'amo, G O.
dc.contributor.authorOlago, D O.
dc.contributor.authorOriaso, S O.
dc.contributor.authorNyamongo, I K.
dc.contributor.authorEstambale, Benson B.
dc.date.accessioned2018-06-25T12:22:35Z
dc.date.available2018-06-25T12:22:35Z
dc.date.issued2018-06-21
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/epdf/10.1111/mve.12312
dc.identifier.urihttp://ir.jooust.ac.ke:8080/xmlui/handle/123456789/1324
dc.descriptiondoi: 10.1111/mve.12312en_US
dc.description.abstractAnopheles 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.isoenen_US
dc.publisherPubMeden_US
dc.subjectAnopheles gambiae s.len_US
dc.subjectclimateen_US
dc.subjectenvironmental factorsen_US
dc.subjectremote sensingen_US
dc.titleMapping potential Anopheles gambiae s.l.larvaldistribution using remotely sensed climatic andenvironmental variables in Baringo, Kenyaen_US
dc.typeArticleen_US


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