利用社会空间动力学来提高流行病的抵御力:来自印度科济科德的证据
Shahana Usman Abdulla1, Bimal Puthuvayi1
1Department of Architecture & Planning, National Institute of Technology Calicut, Kerala, India.
One health (Amsterdam, Netherlands)
|September 17, 2025
概括
印度的COVID-19传播受到社会空间因素的影响,而不仅仅是制. 伴随性疾病和政府限制显著增加了感染风险,以及密度和基本工作.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 城市研究 城市研究
背景情况:
- 印度的COVID-19病例 (2020-2022) 尽管受到制,但仍在升,基于行政边界的策略被证明具有破坏性.
- 关于城市环境中微层次的COVID-19传播的社会空间决定因素存在研究缺口.
研究的目的:
- 为了确定影响COVID-19传播的关键社会经济和空间因素,使用来自科济科德市的微层数据.
- 分析城市病房内的空间动态和感染聚类.
主要方法:
- 二元物流回归模型应用于来自75个病房的1194个人的数据.
- 热点分析用于可视化和理解COVID-19病例的空间分布.
- 调查的变量包括并发病,严格性指数,居住密度,工作状态,公共设施的接近性和旅行频率.
主要成果:
- 同病 (OR=8.61) 和政府严格指数 (OR=1.63) 是增加COVID-19感染风险的显著预测因素.
- 较高的感染率与居住密度,基本工作地位,接近公共设施和频繁旅行有关.
- 热点分析揭示了城市核心地区感染的显著空间聚类.
结论:
- 社会空间因素,包括个人健康,人口密度和流动模式,在COVID-19传播动态中发挥着关键作用.
- 考虑到疾病传播的空间性质,需要本地化,数据驱动的公共卫生干预措施.
- 该研究的模型达到86.5%的准确性,验证了社会空间参数在理解和管理传染病爆发中的重要性.
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