The role of built and social environmental factors in Covid-19 transmission: A look at America's capital city
The role of built and social environmental factors in Covid-19 transmission: A look at America's capital city
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DOI：
10.1016/j.scs.2020.102580
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发表时间：
2021-01-05
影响因子：
11.7
通讯作者：
Milner, David
中科院分区：
文献类型：
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作者：
Hu, Ming;Roberts, Jennifer D.;Milner, David
本研究的目的是在2019年新型冠状病毒病（COVID-19）的背景下，调查建筑环境和社会环境之间的多方面相互关系，以及这种关系对人群健康水平的影响。更具体地说，本研究评估了华盛顿特区几个健康社会决定因素之间的关系，包括住房质量、生活条件、旅行模式、种族/民族、家庭收入和COVID-19结果。利用从DC能源基准和美国社区调查数据库中提取的建筑环境和社会环境数据，针对DC病房的COVID-19病例数、死亡人数、死亡率、年龄调整发病率和死亡率数据分析了13万多套住房。结果表明，住房质量、居住条件、种族和职业与COVID-19死亡人数密切相关。利用当前可用的数据，基于回归模型确定了DC内的潜在热点。根据目前可获得的COVID-19信息，确定的建筑和社会环境综合变量是COVID-19死亡人数最强和最显著的预测因子。在这些变量中，拥挤率的影响最为显著，其次是工作通勤时间和黑人比例。
The goal of this research was to investigate the multifaceted interrelationships between the built and social environments and the impact of this relationship on population-level health in the context of the novel coronavirus disease 2019 (COVID-19). More specifically, this study assessed the relationship between several social determinants of health, including housing quality, living condition, travel pattern, race/ethnicity, household income, and COVID-19 outcomes in Washington, D.C (DC). Using built environment and social environment data extracted from the DC energy benchmarking and American Community Survey databases, more than 130,000 housing units were analyzed against COVID-19 case counts, death counts, mortality rate, age adjusted incidence rate and fatality rate data for DC wards. The results demonstrated that housing quality, living condition, race and occupation were strongly correlated with COVID-19 death count. The potential hot spots within DC were also identified based the regression model using currently available data. It can be concluded that based on the current available COVID-19 information, the identified combined built and social environment variables are the strongest and most significant predicators of COVID-19 death counts. And among those variables, crowding ratio has most significant influence, followed by work commute time and Black American Ratio.