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Modeling seasonal rabies epidemics in China. (English) Zbl 1237.92056
Bull. Math. Biol. 74, No. 5, 1226-1251 (2012); erratum ibid. 75, No. 1, 206-211 (2013).
Summary: Human rabies, an infection of the nervous system, is a major public-health problem in China. In the last 60 years (1950-2010) there had been 124,255 reported human rabies cases, an average of 2,037 cases per year. However, the factors and mechanisms behind the persistence and prevalence of human rabies have not become well understood. The monthly data of human rabies cases reported by the Chinese Ministry of Health exhibits a periodic pattern on an annual base. The cases in the summer and autumn are significantly higher than in the spring and winter. Based on this observation, we propose a susceptible, exposed, infectious, and recovered (SEIRS) model with periodic transmission rates to investigate the seasonal rabies epidemics. We evaluate the basic reproduction number \(R_{0}\), analyze the dynamical behavior of the model, and use the model to simulate the monthly data of human rabies cases reported by the Chinese Ministry of Health. We also carry out some sensitivity analysis of the basic reproduction number \(R_{0}\) in terms of various model parameters. Moreover, we demonstrate that it is more reasonable to regard \(R_{0}\) rather than the average basic reproduction number \({\bar R}_{0}\) or the basic reproduction number \({\hat R}_{0}\) of the corresponding autonomous system as a threshold for the disease. Finally, our studies show that human rabies in China can be controlled by reducing the birth rate of dogs, increasing the immunization rate of dogs, enhancing public education and awareness about rabies, and strengthening supervision of pupils and children in the summer and autumn.

92D30 Epidemiology
34C60 Qualitative investigation and simulation of ordinary differential equation models
34D23 Global stability of solutions to ordinary differential equations
65C20 Probabilistic models, generic numerical methods in probability and statistics
Full Text: DOI
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