Modeling the effects of insecticides resistance on malaria vector control in endemic regions of Kenya

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dc.contributor.author Wairimu, Josephine
dc.contributor.author Chirove, Faraimunashe
dc.contributor.author Ronoh, Marilyn
dc.contributor.author Malonza, David M.
dc.date.accessioned 2025-07-15T07:50:23Z
dc.date.available 2025-07-15T07:50:23Z
dc.date.issued 2018-12
dc.identifier.citation Biosystems, volume 174, pages 49-59, December 2018 en_US
dc.identifier.issn 0303-2647
dc.identifier.uri https://www.sciencedirect.com/science/article/abs/pii/S0303264717300400?via%3Dihub
dc.identifier.uri http://repository.seku.ac.ke/xmlui/handle/123456789/8117
dc.description https://doi.org/10.1016/j.biosystems.2018.09.002 en_US
dc.description.abstract We present a model to investigate the effects of vector resistance to control strategies. The model captures the development of resistance as well as loss of resistance in mosquitoes and how these affect the progress in malaria control. Important thresholds were calculated from mathematical analysis and numerical results presented. Mathematical results reveal the existence of the disease free and endemic equilibria whose existence and stability depends on the control reproduction number, Rc. The disease persist when the Rc>1 and dies out when Rc<1. Control strategies use and adherence needs to be highly efficacious to thwart the effects of insecticides resistance. Moreover, it is not enough to just eradicate resistant mosquitoes. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.title Modeling the effects of insecticides resistance on malaria vector control in endemic regions of Kenya en_US
dc.type Article en_US


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