A multilayer epidemic simulation framework integrating geographic information system with traveling networks

Chung Yuan Huang; Tzai Hung Wen

doi:10.1109/WCICA.2010.5554672

A multilayer epidemic simulation framework integrating geographic information system with traveling networks

Chung Yuan Huang^*
, Tzai Hung Wen

^*Corresponding author for this work

Department of Computer Science and Information Engineering

National Taiwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The post-infection symptoms that individuals present are affected by age and the routes by which viruses are spread are determined by such movement factors as traveling networks. Here we describe a multilayer epidemiological framework call MEDSIM that integrates population-based and network-oriented approaches. The multilayer framework, which contains a geographic information system for purposes of capturing spatial variations in disease transmission, is capable of providing geospatial insights that reflect the impacts of pandemics and the dynamic processes of different simulation scenarios. It is our wish that the proposed framework and the simulation technology will assist in understanding the impacts of different outbreak locations and response policy combinations, as well as the timing of interventions.

Original language	English
Title of host publication	2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Pages	2002-2007
Number of pages	6
DOIs	https://doi.org/10.1109/WCICA.2010.5554672
State	Published - 2010
Event	2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 - Jinan, China Duration: 07 07 2010 → 09 07 2010

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference	2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Country/Territory	China
City	Jinan
Period	07/07/10 → 09/07/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Computer simulation
Epidemic dynamics
Geographic information system
Multilayer model
Traveling network

Access to Document

10.1109/WCICA.2010.5554672

Cite this

Huang, C. Y., & Wen, T. H. (2010). A multilayer epidemic simulation framework integrating geographic information system with traveling networks. In 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 (pp. 2002-2007). Article 5554672 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). https://doi.org/10.1109/WCICA.2010.5554672

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title = "A multilayer epidemic simulation framework integrating geographic information system with traveling networks",

abstract = "The post-infection symptoms that individuals present are affected by age and the routes by which viruses are spread are determined by such movement factors as traveling networks. Here we describe a multilayer epidemiological framework call MEDSIM that integrates population-based and network-oriented approaches. The multilayer framework, which contains a geographic information system for purposes of capturing spatial variations in disease transmission, is capable of providing geospatial insights that reflect the impacts of pandemics and the dynamic processes of different simulation scenarios. It is our wish that the proposed framework and the simulation technology will assist in understanding the impacts of different outbreak locations and response policy combinations, as well as the timing of interventions.",

keywords = "Computer simulation, Epidemic dynamics, Geographic information system, Multilayer model, Traveling network",

author = "Huang, \{Chung Yuan\} and Wen, \{Tzai Hung\}",

year = "2010",

doi = "10.1109/WCICA.2010.5554672",

language = "英语",

isbn = "9781424467129",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "2002--2007",

booktitle = "2010 8th World Congress on Intelligent Control and Automation, WCICA 2010",

note = "2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 ; Conference date: 07-07-2010 Through 09-07-2010",

}

Huang, CY & Wen, TH 2010, A multilayer epidemic simulation framework integrating geographic information system with traveling networks. in 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010., 5554672, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), pp. 2002-2007, 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010, Jinan, China, 07/07/10. https://doi.org/10.1109/WCICA.2010.5554672

A multilayer epidemic simulation framework integrating geographic information system with traveling networks. / Huang, Chung Yuan; Wen, Tzai Hung.
2010 8th World Congress on Intelligent Control and Automation, WCICA 2010. 2010. p. 2002-2007 5554672 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wen, Tzai Hung

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AB - The post-infection symptoms that individuals present are affected by age and the routes by which viruses are spread are determined by such movement factors as traveling networks. Here we describe a multilayer epidemiological framework call MEDSIM that integrates population-based and network-oriented approaches. The multilayer framework, which contains a geographic information system for purposes of capturing spatial variations in disease transmission, is capable of providing geospatial insights that reflect the impacts of pandemics and the dynamic processes of different simulation scenarios. It is our wish that the proposed framework and the simulation technology will assist in understanding the impacts of different outbreak locations and response policy combinations, as well as the timing of interventions.

KW - Computer simulation

KW - Epidemic dynamics

KW - Geographic information system

KW - Multilayer model

KW - Traveling network

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DO - 10.1109/WCICA.2010.5554672

M3 - 会议稿件

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SN - 9781424467129

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

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Y2 - 7 July 2010 through 9 July 2010

ER -

A multilayer epidemic simulation framework integrating geographic information system with traveling networks

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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