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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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Article details
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
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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Mendeley demographics

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The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 4%
India 1 1%
Australia 1 1%
Unknown 65 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 18 26%
Researcher 14 20%
Student > Master 10 14%
Professor > Associate Professor 6 9%
Student > Postgraduate 4 6%
Other 8 11%
Unknown 10 14%
Readers by discipline
Readers by discipline Count As %
Mathematics 14 20%
Medicine and Dentistry 14 20%
Agricultural and Biological Sciences 9 13%
Veterinary Science and Veterinary Medicine 7 10%
Computer Science 4 6%
Other 12 17%
Unknown 10 14%
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
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,092 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 155,770 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
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