A reaction-diffusion malaria model with incubation period in the vector population.
Malaria is one of the most important parasitic infections in humans and more than two billion people are at risk every year. To understand how the spatial heterogeneity and extrinsic incubation period (EIP) of the parasite within the mosquito affect the dynamics of malaria epidemiology, we propose a nonlocal and time-delayed reaction-diffusion model. We then define the basic reproduction ratio R₀ and show that R₀ serves as a threshold parameter that predicts whether malaria will spread. Furthermore, a sufficient condition is obtained to guarantee that the disease will stabilize at a positive steady state eventually in the case where all the parameters are spatially independent. Numerically, we show that the use of the spatially averaged system may highly underestimate the malaria risk. The spatially heterogeneous framework in this paper can be used to design the spatial allocation of control resources.
Lou
Yijun
Y
Department of Mathematics and Statistics, Memorial University of Newfoundland, St. John's, NL A1C5S7, Canada. yijunlou@hotmail.com
Zhao
Xiao-Qiang
XQ
D000818:Animals; D000852:Anopheles / Q000469:parasitology*; D050936:Basic Reproduction Number; D058872:Epidemics; D005260:Female; D006801:Humans; D007303:Insect Vectors / Q000469:parasitology*; D008288:Malaria / Q000453:epidemiology / Q000469:parasitology* / Q000635:transmission; D008954:Models, Biological; D010961:Plasmodium / Q000502:physiology*