A multi-agent based approach for simulating epidemic transmission

Tao Liu; Xia Li; Jing Fu; Bin Ai; Xiao Hu Zhang

doi:10.1117/12.812596

A multi-agent based approach for simulating epidemic transmission

Tao Liu^*
, Xia Li
, Jing Fu
, Bin Ai
, Xiao Hu Zhang

^*Corresponding author for this work

Sun Yat-Sen University

Research output: Contribution to journal › Conference article › peer-review

Abstract

A new model is proposed based on multi-agent system to simulate spatio-temporal transmission process of infectious diseases. The model consists of four components: attributes definitions, neighborhood, movement rules and state transition rules. The state transition rule is the core of the proposed model. In the model, memory of infection of susceptible agents are embodied, moreover, infection dose decay rate and exponential distance parameters are introduced in transmission process, so that the spatio-temporal effect is explicitly considered.

Original language	English
Article number	71431V
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7143
DOIs	https://doi.org/10.1117/12.812596
State	Published - 2008
Externally published	Yes
Event	Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments - Guangzhou, China Duration: 28 Jun 2008 → 29 Jun 2008

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Epidemic
Multi-agent system
Simulation
Spatio-temporal

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10.1117/12.812596

Cite this

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title = "A multi-agent based approach for simulating epidemic transmission",

abstract = "A new model is proposed based on multi-agent system to simulate spatio-temporal transmission process of infectious diseases. The model consists of four components: attributes definitions, neighborhood, movement rules and state transition rules. The state transition rule is the core of the proposed model. In the model, memory of infection of susceptible agents are embodied, moreover, infection dose decay rate and exponential distance parameters are introduced in transmission process, so that the spatio-temporal effect is explicitly considered.",

keywords = "Epidemic, Multi-agent system, Simulation, Spatio-temporal",

author = "Tao Liu and Xia Li and Jing Fu and Bin Ai and Zhang, \{Xiao Hu\}",

year = "2008",

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language = "英语",

volume = "7143",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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T1 - A multi-agent based approach for simulating epidemic transmission

AU - Liu, Tao

AU - Li, Xia

AU - Fu, Jing

AU - Ai, Bin

AU - Zhang, Xiao Hu

PY - 2008

Y1 - 2008

N2 - A new model is proposed based on multi-agent system to simulate spatio-temporal transmission process of infectious diseases. The model consists of four components: attributes definitions, neighborhood, movement rules and state transition rules. The state transition rule is the core of the proposed model. In the model, memory of infection of susceptible agents are embodied, moreover, infection dose decay rate and exponential distance parameters are introduced in transmission process, so that the spatio-temporal effect is explicitly considered.

AB - A new model is proposed based on multi-agent system to simulate spatio-temporal transmission process of infectious diseases. The model consists of four components: attributes definitions, neighborhood, movement rules and state transition rules. The state transition rule is the core of the proposed model. In the model, memory of infection of susceptible agents are embodied, moreover, infection dose decay rate and exponential distance parameters are introduced in transmission process, so that the spatio-temporal effect is explicitly considered.

KW - Epidemic

KW - Multi-agent system

KW - Simulation

KW - Spatio-temporal

UR - https://www.scopus.com/pages/publications/62449187935

U2 - 10.1117/12.812596

DO - 10.1117/12.812596

M3 - 会议文章

AN - SCOPUS:62449187935

SN - 0277-786X

VL - 7143

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 71431V

T2 - Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments

Y2 - 28 June 2008 through 29 June 2008

ER -

A multi-agent based approach for simulating epidemic transmission

Abstract

UN SDGs

Keywords

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