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关于SARS-CoV-2传播的街道级建筑环境:对香港的一项研究

Chongyang Ren^1,2, Xiaoran Huang^1,3, Qingyao Qiao²

¹School of Architecture and Art, North China University of Technology, Beijing, 100144, China.

|October 14, 2024

概括

街道水平的建筑环境显著影响SARS-CoV-2的空间传播风险. 在高传播区域,人行道和卫生设施增加了风险,而在低传播区域,交通管制设施与风险有关.

科学领域:

城市规划和公共卫生
流行病学流行病学
环境科学环境科学

背景情况:

了解SARS-CoV-2的空间传播风险 (SSTR) 对大流行控制至关重要.
以前的研究集中在宏观层面的建筑环境上,忽视了住宅规模的因素.
街道平面建筑环境 (SLBE) 和SSTR之间的关联仍未得到充分探索.

研究的目的:

调查香港的SLBE和SSTR之间的关系,跨越多个流行病浪潮.
为了确定特定的街道级特征,影响COVID-19在颗粒级传播.
解决了解本地化城市设计如何影响疾病传播的差距.

主要方法:

收集了3693个参观/居住的建筑物的数据,并使用空间自相关性将它们聚集在一起.
使用谷歌街景 (GSV) 来提取详细的SLBE功能.
采用随机森林算法 (RFA) 与夏普利添加式扩展 (SHAP) 进行非线性关联分析.

主要成果:

在高风险地区,街道人行道,卫生设施和人造结构与SSTR有关.
在低风险地区,交通管制设施与SSTR有显著的积极关联.
在不同的风险环境中,确定了有助于SSTR的独特SLBE因素.

结论:

在COVID-19传播动态中,SLBE发挥着重要作用.
调查结果可以为有针对性的公共卫生干预和城市设计策略提供信息.
提供了在流行病期间优化户外行为和资源配置的指导.

关键词:

在COVID-19大流行中,计算机视觉计算机视觉计算机视觉在香港,香港就是香港.可以解释的机器学习空间传播风险的空间传播风险在街道层面建造的环境.

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