Li Bo, Peng You, He He, Wang Mingshu, Feng Tao
School of Architecture and Art, Central South University, 410083, Changsha, China.
Urban Planning and Transportation Group, Department of the Built Environment, Eindhoven University of Technology, PO Box 513, 5600 MB, Eindhoven, the Netherlands.
Sustain Cities Soc. 2021 Mar;66:102685. doi: 10.1016/j.scs.2020.102685. Epub 2020 Dec 26.
Since COVID-19 spread rapidly worldwide, many countries have experienced significant growth in the number of confirmed cases and deaths. Earlier studies have examined various factors that may contribute to the contagion rate of COVID-19, such as air pollution, smoking, humidity, and temperature. As there is a lack of studies at the neighborhood-level detailing the spatial settings of built environment attributes, this study explored the variations in the size of the COVID-19 confirmed case clusters across the urban district Huangzhou in the city of Huanggang. Clusters of infectious cases in the initial outbreak of COVID-19 were identified geographically through GIS methods. The hypothetic relationships between built environment attributes and clusters of COVID-19 cases have been investigated with the structural equation model. The results show the statistically significant direct and indirect influences of commercial vitality and transportation infrastructure on the number of confirmed cases in an infectious cluster. The clues ch inducing a high risk of contagions have been evidenced and provided for the decision-making practice responding to the initial stage of possible severe epidemics, indicating that the local public health authorities should implement sufficient measures and adopt effective interventions in the areas and places with a high probability of crowded residents.
自新冠病毒在全球迅速传播以来，许多国家的确诊病例数和死亡人数都大幅增加。早期研究探讨了可能导致新冠病毒传播率的各种因素，如空气污染、吸烟、湿度和温度。由于缺乏邻里层面详细阐述建筑环境属性空间设置的研究，本研究探讨了黄冈市黄州区城区新冠确诊病例聚集区规模的差异。通过地理信息系统（GIS）方法在地理上确定了新冠疫情初期的感染病例聚集区。利用结构方程模型研究了建筑环境属性与新冠病例聚集区之间的假设关系。结果显示，商业活力和交通基础设施对感染聚集区确诊病例数具有统计学上显著的直接和间接影响。已证实了导致高传染风险的线索，并为应对可能的严重疫情初期的决策实践提供了依据，这表明当地公共卫生当局应在居民可能拥挤的地区和场所采取充分措施并进行有效干预。
