Fu Xinyu, Zhai Wei
Environmental Planning Program, Faculty of Arts and Social Sciences, University of Waikato, Hamilton, New Zealand.
Department of Geography, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.
Sustain Cities Soc. 2021 Apr;67:102757. doi: 10.1016/j.scs.2021.102757. Epub 2021 Feb 3.
Social distancing and particularly staying at home are effective public health responses to the COVID-19 pandemic. The sheer scale of behavior changes across a mass population scale is unprecedented and will undoubtedly cause disproportionate hardships for certain vulnerable groups of population and marginalized communities during different periods of the pandemic. However, at the community level, few studies have considered the spatial and temporal variations in such public health behavior changes during this pandemic. We applied a geographically and temporally weighted regression (GTWR) to analyze the spatiotemporal pattern of community stay-at-home behaviors against social vulnerability indicators at the census tract level in New York City from March to August 2020. Our findings are generally supporting the conventional wisdom of social vulnerability yet they also offer new insights. Despite the spatial variations in the effects of social vulnerability on stay-at-home behaviors, people from different vulnerable groups are also exhibiting varying reactions to the pandemic over the duration of this study, thereby highlighting the importance of understanding the spatiotemporal pattern of public health behaviors to develop an effective policy response to avoid the risk of deepening inequalities and to promote a just and sustainable urban future.
社交距离，尤其是居家隔离，是应对新冠疫情有效的公共卫生措施。在大规模人群中行为变化的规模是前所未有的，这无疑会在疫情的不同阶段给某些弱势群体和边缘化社区带来不成比例的困难。然而，在社区层面，很少有研究考虑到此次疫情期间这种公共卫生行为变化的时空差异。我们应用地理和时间加权回归（GTWR）来分析2020年3月至8月纽约市普查区层面社区居家行为针对社会脆弱性指标的时空模式。我们的研究结果总体上支持了关于社会脆弱性的传统观点，但也提供了新的见解。尽管社会脆弱性对居家行为的影响存在空间差异，但在本研究期间，不同弱势群体的人们对疫情也表现出了不同的反应，从而凸显了理解公共卫生行为时空模式对于制定有效政策回应的重要性，以避免不平等加剧的风险，并促进公正和可持续的城市未来。
