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Modeling malaria sensitive and resistant strains with superinfection

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dc.contributor.author Bimbiga, Ivy
dc.contributor.author Irunde, Jacob Ismail
dc.contributor.author Kuznetsov, Dmitry
dc.date.accessioned 2020-06-24T07:49:10Z
dc.date.available 2020-06-24T07:49:10Z
dc.date.issued 2019-03-08
dc.identifier.uri https://dspace.nm-aist.ac.tz/handle/123456789/802
dc.description This research article published by Communications in Mathematical Biology and Neuroscience, 2019 en_US
dc.description.abstract In this paper, a deterministic model to examine the dynamics of malaria with sensitive and resistant strains in the presence of superinfection is formulated and presented. The basic reproduction is computed using next-generation method and sensitivity index for each parameter with respect to reproduction number R0 is derived. The rate at which human beings are infected by malaria resistant strain and mosquitoes’ mortality rate are the most sensitive parameters to malaria transmission dynamics. Though analysis shows that the rates at which humans are infected by resistant strain and mosquitoes’ natural mortality rate are more sensitive to the disease transmission dynamics, still mosquitoes’ biting rate plays an important role in the transmission dynamics of malaria. To control malaria infection, interventions which increase mosquitoes’ natural mortality, and decrease their biting rate are recommended. en_US
dc.language.iso en en_US
dc.publisher Communications in Mathematical Biology and Neuroscience en_US
dc.subject Research Subject Categories::NATURAL SCIENCES en_US
dc.title Modeling malaria sensitive and resistant strains with superinfection en_US
dc.type Article en_US


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