Simple discrete-time malarial models |
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Authors: | Jia Li |
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Affiliation: | 1. Department of Mathematical Sciences , University of Alabama in Huntsville , Huntsville , AL , 35899 , USA li@math.uah.edu |
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Abstract: | We investigate dynamics of mosquito population models under two assumptions, respectively, and then formulate simple discrete-time compartmental susceptible-exposed-infective-recovered models for the malaria transmission based on the mosquito population models. We show that the mosquito population models either have robust dynamics or exhibit period-doubling bifurcation depending on the model assumptions. We derive a formula for the reproductive number of infection for the malaria model, which determines the stability of the infection-free fixed point. We then determine the existence of endemic fixed points for the malaria models. Using numerical simulations, we demonstrate that the dynamical characteristics of the mosquito populations, such as the global stability of the endemic fixed point and the appearance of a period-doubling bifurcation, are reflected in the dynamics of the malaria transmission. |
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Keywords: | mosquito population models discrete-time malaria models Beverton–Holt-type nonlinearity Ricker-type nonlinearity stability period-doubling bifurcation |
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