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Modeling the transmission dynamics and control of rabies in China

Overview of attention for article published in Mathematical Biosciences, February 2017
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Article details
Title
Modeling the transmission dynamics and control of rabies in China
Published in
Mathematical Biosciences, February 2017
DOI 10.1016/j.mbs.2017.02.005
Pubmed ID
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Abstract

Human rabies was first recorded in ancient China in about 556 BC and is still one of the major public-health problems in China. From 1950 to 2015, 130,494 human rabies cases were reported in Mainland China with an average of 1,977 cases per year. It is estimated that 95% of these human rabies cases are due to dog bites. The purpose of this article is to provide a review about the models, results, and simulations that we have obtained recently on studying the transmission of rabies in China. We first construct a basic susceptible, exposed, infectious, and recovered (SEIR) type model for the spread of rabies virus among dogs and from dogs to humans and use the model to simulate the human rabies data in China from 1996 to 2010. Then we modify the basic model by including both domestic and stray dogs and apply the model to simulate the human rabies data from Guangdong Province, China. To study the seasonality of rabies, in section 4 we further propose a SEIR model with periodic transmission rates and employ the model to simulate the monthly data of human rabies cases reported by the Chinese Ministry of Health from January 2004 to December 2010. To understand the spatial spread of rabies, in section 5 we add diffusion to the dog population in the basic SEIR model to obtain a reaction-diffusionequation model and determine the minimum wave speed connecting the disease-free equilibrium to the endemic equilibrium. Finally, in order to investigate how the movement of dogs affects the geographically inter-provincial spread of rabies in Mainland China, in section 6 we propose a multi-patch model to describe the transmission dynamics of rabies between dogs and humans and use the two-patch submodel to investigate the rabies virus clades lineages and to simulate the human rabies data from Guizhou and Guangxi, Hebei and Fujian, and Sichuan and Shaanxi, respectively. Some discussions are provided in section 7.

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The data shown below were compiled from readership statistics for 125 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 1 <1%
Unknown 124 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 18 14%
Student > Ph. D. Student 16 13%
Student > Bachelor 12 10%
Researcher 11 9%
Lecturer 7 6%
Other 13 10%
Unknown 48 38%
Readers by discipline
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 18 14%
Agricultural and Biological Sciences 13 10%
Mathematics 11 9%
Medicine and Dentistry 5 4%
Nursing and Health Professions 4 3%
Other 21 17%
Unknown 53 42%
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 09 February 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Mathematical Biosciences
#779
of 886 outputs
Outputs of similar age
#365,187
of 424,548 outputs
Outputs of similar age from Mathematical Biosciences
#4
of 8 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 886 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 1st percentile – i.e., 1% 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 424,548 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.