以社区为基础的社会文化网络防控新冠肺炎疫情:七条政策建议

Q2 Social Sciences
Timothy R. Hannigan, M. Wang, Christopher W. J. Steele, M. Seidel, Eduardo Cervantes, P. Jennings
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引用次数: 0

摘要

我们展示了以社区为基础的社会文化网络方法对理解和防治COVID-19传染的有用性。我们不是推荐传染建模的标准方法,即使用个人作为利益单位(seir型建模),而是鼓励研究人员和政策制定者关注社会单位(如家庭),并将社会单位视为嵌入在区域或国家文化中的社区(社会文化网络的本地配置)的一部分。传染是通过这些社区网络中社会单位之间的文化条件互动发生的。基于这种方法和我们的初步模拟结果,我们为分析师提供了三条政策建议,为政策制定者提供了两条建议,为从业者提供了两条建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A community-based sociocultural network approach to controlling COVID-19 contagion: Seven suggestions for improving policy
We showcase the usefulness of a community-based sociocultural network approach to understanding and combating COVID-19 contagion. Rather than recommending the standard approach to modeling contagion, which uses the individual person as the unit of interest (SEIR-type modeling), we encourage researchers and policymakers to focus on social units (such as households) and to conceive of the social units as being part of a community (a local configuration of a sociocultural network) that is embedded in a regional or national culture. Contagion occurs via culturally conditioned interactions between social units in these community networks. On the basis of this approach and our preliminary simulation results, we offer three policy suggestions for analysts, two for policymakers, and two for practitioners.
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来源期刊
Behavioral Science and Policy
Behavioral Science and Policy Social Sciences-Development
CiteScore
4.50
自引率
0.00%
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0
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