基于交互式智能体的公共卫生决策建模。
Interactive agent based modeling of public health decision-making.
作者信息
Parks Amanda L, Walker Brett, Pettey Warren, Benuzillo Jose, Gesteland Per, Grant Juliana, Koopman James, Drews Frank, Samore Matthew
机构信息
University of Utah, Salt Lake City, UT, USA.
出版信息
AMIA Annu Symp Proc. 2009 Nov 14;2009:504-8.
Agent-based models have yielded important insights regarding the transmission dynamics of communicable diseases. To better understand how these models can be used to study decision making of public health officials, we developed a computer program that linked an agent-based model of pertussis with an agent-based model of public health management. The program, which we call the Public Health Interactive Model & simulation (PHIMs) encompassed the reporting of cases to public health, case investigation, and public health response. The user directly interacted with the model in the role of the public health decision-maker. In this paper we describe the design of our model, and present the results of a pilot study to assess its usability and potential for future development. Affinity for specific tools was demonstrated. Participants ranked the program high in usability and considered it useful for training. Our ultimate goal is to achieve better public health decisions and outcomes through use of public health decision support tools.
基于主体的模型已经在传染病传播动力学方面产生了重要见解。为了更好地理解如何利用这些模型来研究公共卫生官员的决策制定，我们开发了一个计算机程序，该程序将基于主体的百日咳模型与基于主体的公共卫生管理模型相链接。我们将这个程序称为公共卫生互动模型与模拟（PHIMs），它涵盖了向公共卫生部门报告病例、病例调查以及公共卫生应对等内容。用户以公共卫生决策者的角色直接与该模型进行交互。在本文中，我们描述了我们模型的设计，并展示了一项试点研究的结果，以评估其可用性和未来发展潜力。结果显示了对特定工具的偏好。参与者对该程序的可用性评价很高，并认为它对培训很有用。我们的最终目标是通过使用公共卫生决策支持工具来实现更好的公共卫生决策和结果。
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