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An integrated agent-based approach for modeling disease spread in large populations to support health informatics

机译:一种基于综合的代理商的造型方法,疾病的大大群体传播,以支持健康信息学

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Disease spread has a much broader impact on public health than the important issues of illnesses and deaths. Among these are chronic health problems, reductions in national wealth, government instability, and crime. Here, we describe an integrated approach for computational health informatics that includes individual-based population construction, and agent-based modeling of dynamics. We restrict dynamics modeling to epidemiology. We itemize technical challenges and provide a case study of the Ebola outbreak in Monrovia, Liberia, with discussion of mobile treatment centers.
机译:疾病传播对公共卫生的影响更大,而不是疾病和死亡的重要问题。其中包括慢性健康问题,在国家财富减少,政府不稳定和犯罪。在这里,我们描述了包括基于个人人口建设的计算健康信息的综合方法,以及基于代理的动态建模。我们将动态建模限制到流行病学。我们逐项列出了技术挑战,并提供了对利比里亚蒙罗维亚埃博拉疫情的案例研究,讨论了移动治疗中心。

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