包括美国综合人口数据库中的群体人口。

Bernadette M Chasteen, William D Wheaton, Philip C Cooley, Laxminarayana Ganapathi, Diane K Wagener
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引用次数: 0

摘要

2005年,RTI国际研究人员开发了为美国综合人口数据库生成美国家庭综合人口数据的方法。这些数据用于基于代理的建模,模拟大规模的社会网络,以测试个人行为的变化如何影响整个网络。集体宿舍是个人住在一起并经常互动的住所。尽管综合人口数据库代表了居住在家庭中的人口,但由于美国人口普查局的报告方法旨在保护个人隐私,因此该国群体居民的数据不容易量化。在基于主体的建模中,包括群体人口数据可能是一个重要因素,因为居民的数量和他们相互作用的频率是直接影响建模结果的变量。特别是在传染病建模中,媒介相互作用频率的增加可能会增加传染病在个体之间传播的可能性和疾病爆发的可能性。本报告回顾了我们综合小组宿舍居民数据以匹配美国人口普查局数据的方法。我们开发小组宿舍人口数据库的目标是使其能够与RTI的美国综合人口数据库一起用于传染病病原体研究建模。
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Including the Group Quarters Population in the US Synthesized Population Database.

In 2005, RTI International researchers developed methods to generate synthesized population data on US households for the US Synthesized Population Database. These data are used in agent-based modeling, which simulates large-scale social networks to test how changes in the behaviors of individuals affect the overall network. Group quarters are residences where individuals live in close proximity and interact frequently. Although the Synthesized Population Database represents the population living in households, data for the nation's group quarters residents are not easily quantified because of US Census Bureau reporting methods designed to protect individuals' privacy.Including group quarters population data can be an important factor in agent-based modeling because the number of residents and the frequency of their interactions are variables that directly affect modeling results. Particularly with infectious disease modeling, the increased frequency of agent interaction may increase the probability of infectious disease transmission between individuals and the probability of disease outbreaks.This report reviews our methods to synthesize data on group quarters residents to match US Census Bureau data. Our goal in developing the Group Quarters Population Database was to enable its use with RTI's US Synthesized Population Database in the Modeling of Infectious Diseases Agent Study.

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