About: 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 (R2>0.7) between increment in air pollution and an increase in the risk of COVID-19 transmission within London boroughs. Particularly, strong correlations (R2>0.72) between the risk of COVID-19 fatality and NO2 and PM2.5 pollution concentrations were also 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 vulnerable regions within a city. 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 public transport to respond to the COVID-19 outbreak by adopting different levels of human-mobility reduction strategies based on the vulnerability of a given region.   Goto Sponge  NotDistinct  Permalink

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  • 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 (R2>0.7) between increment in air pollution and an increase in the risk of COVID-19 transmission within London boroughs. Particularly, strong correlations (R2>0.72) between the risk of COVID-19 fatality and NO2 and PM2.5 pollution concentrations were also 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 vulnerable regions within a city. 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 public transport to respond to the COVID-19 outbreak by adopting different levels of human-mobility reduction strategies based on the vulnerability of a given region.
Subject
  • Air pollution
  • COVID-19
  • Greater London
  • Climate forcing
  • 2019 disasters in China
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