Estimating the Impact of Public and Private Strategies for Controlling an Epidemic: A Multi-Agent Approach
作者： Jonathan Leidig , Achla Marathe , Keith R. Bisset , Christopher L. Barrett , Madhav V. Marathe
DOI:
关键词: Infectious disease (medical specialty) 、 Network science 、 Computer science 、 Risk analysis (engineering) 、 Event (computing) 、 Public health 、 Management science 、 Public policy 、 Multi agent approach 、 Social effects
摘要: This paper describes a novel approach based on combination of techniques in AI, parallel computing, and network science to address an important problem social sciences public health: planning responding the event epidemics. Spread infectious disease is societal -- human behavior, networks, civil infrastructures all play crucial role initiating controlling such epidemic processes. We specifically consider economic effects realistic interventions proposed adopted by health officials behavioral changes of private citizens ``flu-like'' epidemic. Our results provide new insights for developing robust policies that can prove useful planning.
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