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Modeling Seasonal Rabies Epidemics in China

Overview of attention for article published in Bulletin of Mathematical Biology, March 2012
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Title
Modeling Seasonal Rabies Epidemics in China
Published in
Bulletin of Mathematical Biology, March 2012
DOI 10.1007/s11538-012-9720-6
Pubmed ID
Authors

Juan Zhang, Zhen Jin, Gui-Quan Sun, Xiang-Dong Sun, Shigui Ruan

Abstract

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 [Formula: see text] or the basic reproduction number [Formula: see text] 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.

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Geographical breakdown

Country Count As %
United States 3 5%
India 1 2%
Australia 1 2%
Unknown 60 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 28%
Researcher 12 18%
Student > Master 10 15%
Professor > Associate Professor 6 9%
Student > Postgraduate 4 6%
Other 9 14%
Unknown 6 9%
Readers by discipline Count As %
Mathematics 14 22%
Medicine and Dentistry 14 22%
Agricultural and Biological Sciences 8 12%
Veterinary Science and Veterinary Medicine 6 9%
Computer Science 4 6%
Other 13 20%
Unknown 6 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 June 2013.
All research outputs
#18,340,012
of 22,711,645 outputs
Outputs from Bulletin of Mathematical Biology
#879
of 1,092 outputs
Outputs of similar age
#120,900
of 155,770 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#1
of 1 outputs
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