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夜间光线对COVID-19死亡率的间接和直接影响,使用卫星图像映射方法

Daisuke Yoneoka¹, Akifumi Eguchi², Shuhei Nomura^3,4,5

¹Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Toyama, Shinjuku-Ku, Tokyo, 162-0052, Japan. yoneoka@niid.go.jp.

Scientific reports

|October 24, 2024

概括

夜光 (NTL) 卫星数据揭示了COVID-19死亡模式的变化. 最初,较高的NTL与死亡率的增加相关,但后来的波浪显示出一种保护性的溢出效应,表明感染动态的演变.

科学领域:

环境科学环境科学
流行病学流行病学
遥感遥感遥感遥感

背景情况:

COVID-19 流行病强调了环境因素在疾病传播中的作用.
夜光 (NTL) 卫星数据为人类活动和互动提供了一个代理.
了解这些因素对于公共卫生干预至关重要.

研究的目的:

为了调查NTL和COVID-19死亡率之间的空间关联.
评估NTL作为人类相互作用的代理及其对病毒传播的影响.
分析NTL对死亡率的直接和间接 (溢出) 影响.

主要方法:

分析了2020年1月至2022年10月期间43,199例COVID-19死亡事件.
利用卫星衍生NTL数据与环境和社会人口统计共变量一起.
采用空间德宾错误模型来量化NTL对死亡率的影响.

主要成果:

较高的NTL最初与增加的COVID-19死亡率有直接关联.
观察到溢出效应的转变:早期波的邻近死亡率每NTL单位增加了7.9%,而后期波的死亡率下降了8.9%.
这表明NTL代理的人类活动影响着不断变化的感染动态.

结论:

NTL是评估人类夜间活动及其对疾病传播的影响的宝贵工具.
该研究强调了NTL和COVID-19死亡率之间的动态关系,随着溢出效应的变化.
卫星图像为公共卫生洞察提供了一个实用的方法,特别是当直接数据有限时.

关键词:

在 COVID-19 疫情中,死亡率死亡率死亡率夜间的灯光夜间的灯光这是卫星图像.溢出效应是一种溢出效应.

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