Spatially explicit epidemiological simulation system of influenza A (H1N1) in China
The outbreak of pandemic influenza A (H1N1) around the world has caused significant economic loss and human death. It is a urgent challenge to improve our response to pandemic influenza A (H1N1) outbreaks, and avoid its epidemic. Computer simulation is a pragmatic and effective methodology for analy...
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Published in | 2010 18th International Conference on Geoinformatics pp. 1 - 6 |
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Main Authors | , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2010
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Subjects | |
Online Access | Get full text |
ISBN | 1424473012 9781424473014 |
ISSN | 2161-024X |
DOI | 10.1109/GEOINFORMATICS.2010.5567815 |
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Abstract | The outbreak of pandemic influenza A (H1N1) around the world has caused significant economic loss and human death. It is a urgent challenge to improve our response to pandemic influenza A (H1N1) outbreaks, and avoid its epidemic. Computer simulation is a pragmatic and effective methodology for analyses of influenza A (H1N1). A spatially explicit epidemiological simulation system is proposed to study the outbreak and transmission of influenza A (H1N1) in mainland China. In this system, a SEIR epidemic model is developed, and traffic between provinces and four kinds of prevention and control measures are considered. Additionally, Geographic Information System (GIS) tool is incorporated in the system to provide friendly interface for model development, epidemic simulation, and temporal-spatial analysis. Preliminary experimental results have shown the effectiveness of the system. |
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AbstractList | The outbreak of pandemic influenza A (H1N1) around the world has caused significant economic loss and human death. It is a urgent challenge to improve our response to pandemic influenza A (H1N1) outbreaks, and avoid its epidemic. Computer simulation is a pragmatic and effective methodology for analyses of influenza A (H1N1). A spatially explicit epidemiological simulation system is proposed to study the outbreak and transmission of influenza A (H1N1) in mainland China. In this system, a SEIR epidemic model is developed, and traffic between provinces and four kinds of prevention and control measures are considered. Additionally, Geographic Information System (GIS) tool is incorporated in the system to provide friendly interface for model development, epidemic simulation, and temporal-spatial analysis. Preliminary experimental results have shown the effectiveness of the system. |
Author | Xiao, Xiangming Liu, Zhigang Yang, Hua Bo, Yanchen Fang, Liqun Zhang, Yun Zhang, Yong |
Author_xml | – sequence: 1 givenname: Yun surname: Zhang fullname: Zhang, Yun organization: State Key Laboratory of Remote Sensing Science (Beijing Normal University), Beijing, 100875, China – sequence: 2 givenname: Zhigang surname: Liu fullname: Liu, Zhigang email: zhigangliu@bnu.edu.cn organization: State Key Laboratory of Remote Sensing Science (Beijing Normal University), Beijing, 100875, China – sequence: 3 givenname: Yong surname: Zhang fullname: Zhang, Yong organization: School of Mathematical Sciences, Beijing Normal University, Beijing, 100875, China – sequence: 4 givenname: Hua surname: Yang fullname: Yang, Hua organization: State Key Laboratory of Remote Sensing Science (Beijing Normal University), Beijing, 100875, China – sequence: 5 givenname: Yanchen surname: Bo fullname: Bo, Yanchen organization: State Key Laboratory of Remote Sensing Science (Beijing Normal University), Beijing, 100875, China – sequence: 6 givenname: Liqun surname: Fang fullname: Fang, Liqun organization: State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, 100071, China – sequence: 7 givenname: Xiangming surname: Xiao fullname: Xiao, Xiangming organization: Department of Botany and Microbiology, University of Oklahoma, Norman, Oklahoma, USA |
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Snippet | The outbreak of pandemic influenza A (H1N1) around the world has caused significant economic loss and human death. It is a urgent challenge to improve our... |
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SubjectTerms | Biological system modeling Data models epidemiological simulation system Geographic Information Systems GIS Influenza Mathematical model pandemic influenza A (H1N1) Simulation Stochastic processes |
Title | Spatially explicit epidemiological simulation system of influenza A (H1N1) in China |
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