↓ Skip to main content

PLOS

Geographical Analysis of the Distribution and Spread of Human Rabies in China from 2005 to 2011

Overview of attention for article published in PLOS ONE, August 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
91 Mendeley
Title
Geographical Analysis of the Distribution and Spread of Human Rabies in China from 2005 to 2011
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0072352
Pubmed ID
Authors

Danhuai Guo, Hang Zhou, Yan Zou, Wenwu Yin, Hongjie Yu, Yali Si, Jianhui Li, Yuanchun Zhou, Xiaoyan Zhou, Ricardo J. Soares. Magalhães

Abstract

Rabies is a significant public health problem in China in that it records the second highest case incidence globally. Surveillance data on canine rabies in China is lacking and human rabies notifications can be a useful indicator of areas where animal and human rabies control could be integrated. Previous spatial epidemiological studies lacked adequate spatial resolution to inform targeted rabies control decisions. We aimed to describe the spatiotemporal distribution of human rabies and model its geographical spread to provide an evidence base to inform future integrated rabies control strategies in China.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United States 1 1%
Colombia 1 1%
Brazil 1 1%
Unknown 87 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 19%
Researcher 16 18%
Student > Bachelor 13 14%
Student > Ph. D. Student 13 14%
Other 5 5%
Other 9 10%
Unknown 18 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 18%
Nursing and Health Professions 9 10%
Medicine and Dentistry 9 10%
Veterinary Science and Veterinary Medicine 7 8%
Computer Science 6 7%
Other 19 21%
Unknown 25 27%