Agent-based epidemics simulation to compare and explain screening and vaccination prioritization strategies

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Carole Adam, Hélène Arduin
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引用次数: 0

Abstract

This paper describes agent-based models of epidemics dynamics, willingly simplified with the goal not to predict the evolution of the epidemics, but to explain the underlying mechanisms in an interactive way. They allow to compare screening prioritization strategies, and vaccination priority strategies, on a virtual population. The models are implemented in Netlogo in two simulators, published online at https://nausikaa.net/index.php/simulating-epidemics/ to let people experiment. This paper reports on model design, implementation, and experimentations. We have compared screening strategies to assess the epidemics versus control it by quarantining infectious people; and we have compared vaccinating older people with more risk factors, versus younger people with more social contacts.
基于主体的流行病模拟,以比较和解释筛查和疫苗接种优先策略
本文描述了基于智能体的流行病动力学模型,该模型有意简化,目的不是预测流行病的演变,而是以一种交互的方式解释潜在的机制。它们允许在虚拟人群中比较筛查优先策略和疫苗接种优先策略。这些模型是用Netlogo在两个模拟器中实现的,并发布在https://nausikaa.net/index.php/simulating-epidemics/网站上供人们实验。本文报告了模型的设计、实现和实验。我们比较了评估疫情的筛查策略与通过隔离感染者来控制疫情的筛查策略;我们比较了有更多风险因素的老年人和有更多社会接触的年轻人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
31.20%
发文量
60
审稿时长
3 months
期刊介绍: SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.
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