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E-health: agent-based models to simulate behavior of individuals during an epidemic outbreak

Authors:

Vianney Muñoz,

J. Raymundo Marcial-Romero,

David Valle-Cruz,

A. López López,

Félix RamosAuthors Info & Claims

dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age

Article No.: 70, Pages 1 - 10

https://doi.org/10.1145/3209281.3209289

Published: 30 May 2018 Publication History

Abstract

Infectious diseases are a threat to human population. Governments around the world invest a lot of money on research of health area. Artificial intelligence techniques are useful to simulate real scenarios and save in public spending. In this paper, the authors present an agent based model of behavior and activities of individuals, according to a set schedule in a population within an urban environment, which is useful for innovation labs. The authors report results on simulations of the AH1N1 influenza epidemic outbreak of 2009 in Toluca, México. Conclusions indicate that the population density implies that a higher concentration of people corresponds to a higher probability of contagion. This parameter is influenced by the activities and interactions that the agents have within the simulation. The proposed model allows a broader perspective to the analysis of infectious disease in a population describing the behavior and interactions among individuals.

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Cited By

Guo ZLiu X(2024)How artificial intelligence cooperating with agent‐based modeling for urban studies: A systematic reviewTransactions in GIS10.1111/tgis.1315228:3(654-674)Online publication date: 4-Mar-2024
https://doi.org/10.1111/tgis.13152
Leite GAlbuquerque APinheiro P(2021)Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph18201076518:20(10765)Online publication date: 14-Oct-2021
https://doi.org/10.3390/ijerph182010765
Kim YKim JSoo Oh SKim SKu M(2019)Subgroup Analysis of an Epidemic Response Network of OrganizationsProceedings of the 20th Annual International Conference on Digital Government Research10.1145/3325112.3325260(177-185)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3325112.3325260

Index Terms

E-health: agent-based models to simulate behavior of individuals during an epidemic outbreak

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cover image ACM Other conferences

dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age

May 2018

889 pages

ISBN:9781450365260

DOI:10.1145/3209281

Conference Chairs:
Marijn Janssen
Delft University of Technology, Netherlands
,
Soon Ae Chun
City University of New York (CUNY), USA
,
Vishanth Weerakkody
Bradford University, UK
,
Editors:
Anneke Zuiderwijk
Delft University of Technology, Netherlands
,
Charles C. Hinnant
Florida State University, USA

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 30 May 2018

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dg.o '18

dg.o '18: 19th Annual International Conference on Digital Government Research

May 30 - June 1, 2018

Delft, The Netherlands

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Cited By

Guo ZLiu X(2024)How artificial intelligence cooperating with agent‐based modeling for urban studies: A systematic reviewTransactions in GIS10.1111/tgis.1315228:3(654-674)Online publication date: 4-Mar-2024
https://doi.org/10.1111/tgis.13152
Leite GAlbuquerque APinheiro P(2021)Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph18201076518:20(10765)Online publication date: 14-Oct-2021
https://doi.org/10.3390/ijerph182010765
Kim YKim JSoo Oh SKim SKu M(2019)Subgroup Analysis of an Epidemic Response Network of OrganizationsProceedings of the 20th Annual International Conference on Digital Government Research10.1145/3325112.3325260(177-185)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3325112.3325260

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