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Malaria-Dengue Co-Infection Transmission Dynamics with Malaria Prior Immunity

Authors: Ako II, Aghanenu EO

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A new deterministic mathematical model to assess the impact of malaria prior immunity on dengue as well as treatment on the dynamics of malaria-dengue co-infection in a human population is presented. The malaria-dengue co-infection model does undergo the phenomenon of backward bifurcation due to the presence of five parameters: the reduced probability of re-infection by recovered individuals due to malaria prior acquired immunity, the slower rate of treatment of individuals infected with malaria, the susceptibility of malaria-infected individuals to dengue infection, the probability of effective transmission of malaria from infectious humans to susceptible Anopheles vectors, and the probability of effective transmission of dengue infection from infectious humans to Aedes aegypti vectors. The co-infection model was numerically simulated to investigate the impact of various treatment strategies for singly infected and co-infected individuals with and without malaria prior immunity. It was observed that previous exposure to malaria infection does not affect co-infected individuals but has impact on singly infected individuals with malaria. The study also revealed that with high treatment rates the incidence of the co-infection can be reduced if not totally eliminated.

Affiliations: Department of Mathematics, Faculty of Physical Sciences, University of Benin, PMB 1154, Benin City, Nigeria.
Keywords: Backward Bifurcation, Co-infection, Dengue, Malaria, Prior Immunity, Treatment
Published date: 2021/06/30

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ISSN: 2635-3342 (Print)

ISSN: 2635-3350 (Online)

DOI: In progress

ISI Impact Factor: In progress

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Chemical Engineering Department, Faculty of Engineering, University of Benin, PMB 1154, Ugbowo, Benin City, Edo State, Nigeria.