Department of Engineering, University of Cambridge, CB2 1PZ, United Kingdom.
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom; Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom.
Sci Total Environ. 2020 Nov 1;741:140515. doi: 10.1016/j.scitotenv.2020.140515. Epub 2020 Jun 25.
An ecologic analysis was conducted to explore the correlation between air pollution, and COVID-19 cases and fatality rates in London. The analysis demonstrated a strong correlation (R > 0.7) between increment in air pollution and an increase in the risk of COVID-19 transmission within London boroughs. Particularly, strong correlations (R > 0.72) between the risk of COVID-19 fatality and nitrogen dioxide and particulate matter pollution concentrations were found. Although this study assumed the same level of air pollution across a particular London borough, it demonstrates the possibility to employ air pollution as an indicator to rapidly identify the city's vulnerable regions. Such an approach can inform the decisions to suspend or reduce the operation of different public transport modes within a city. The methodology and learnings from the study can thus aid in public transport's response to COVID-19 outbreak by adopting different levels of human-mobility reduction strategies based on the vulnerability of a given region.
进行了一项生态分析，以探讨空气污染与伦敦 COVID-19 病例和死亡率之间的相关性。分析表明，空气污染的增加与伦敦自治市镇内 COVID-19 传播风险之间存在很强的相关性（R>0.7）。特别是，在 COVID-19 死亡率与二氧化氮和颗粒物污染浓度之间发现了很强的相关性（R>0.72）。尽管本研究假设特定伦敦自治市镇的空气污染水平相同，但它表明可以利用空气污染作为指标来快速识别城市的脆弱区域。这种方法可以为决定暂停或减少城市内不同公共交通模式的运营提供依据。因此，该研究的方法和经验教训可以通过根据特定区域的脆弱性，采用不同程度的减少人员流动的策略，为公共交通应对 COVID-19 疫情提供帮助。
