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  • 标题:Association Between Air Pollution and COVID‐19 Pandemic: An Investigation in Mumbai, India
  • 本地全文:下载
  • 作者:Aparajita Chattopadhyay ; Subhojit Shaw
  • 期刊名称:GeoHealth
  • 印刷版ISSN:2471-1403
  • 电子版ISSN:2471-1403
  • 出版年度:2021
  • 卷号:5
  • 期号:7
  • 页码:1-16
  • DOI:10.1029/2021GH000383
  • 语种:English
  • 出版社:John Wiley & Sons, Ltd
  • 摘要:AbstractSpatial hot spots of COVID‐19 infections and fatalities are observed at places exposed to high levels of air pollution across many countries. This study empirically investigates the relationship between exposure to air pollutants that is, sulfur dioxide, nitrogen dioxide, and particulate matter (SO2, NO2, and PM10) and COVID‐19 infection at the smallest administrative level (ward) of Mumbai City in India. The paper explores two hypotheses: COVID‐19 infection is associated with air pollution; the pollutants act as determinants of COVID‐19 deaths. Kriging is used to assess the spatial variations of air quality using pollution data, while information on COVID‐19 are retrieved from the database of Mumbai municipality. Annual average of PM10in Mumbai over the past 3 years is much higher than the WHO specified standard across all wards; further, suburbs are more exposed to SO2, and NO2pollution. Bivariate local indicator of spatial autocorrelation finds significant positive relation between pollution and COVID‐19 infected cases in certain suburban wards. Spatial Auto Regressive models suggest that COVID‐19 death in Mumbai is distinctly associated with higher exposure to NO2, population density and number of waste water drains. If specific pollutants along with other factors play considerable role in COVID‐19 infection, it has strong implications for any mitigation strategy development with an objective to curtail the spreading of the respiratory disease. These findings, first of its kind in India, could prove to be significant pointers toward disease alleviation and better urban living.Plain Language SummaryThe study investigates the relationship between exposure to pollutants (local SO2, NO2, and PM10) and COVID‐19 (cases and deaths) in Mumbai. It also explains whether pollutants act as determinants of COVID‐19 deaths when other factors like population density, health infrastructure, number of slums, waste water drains and roads are controlled through spatial modelling. PM10concentration is much above the WHO specified standard across Mumbai. Overall, people living in the suburbs of Mumbai are at a higher risk of respiratory morbidity. High exposure to specific pollutants (SO2, NO2, and PM10) and high‐presence of COVID‐19 cases are well established in certain wards in the suburban parts of the city. Further, exposure to NO2and COVID‐19 deaths reveals strong linkages in Mumbai. Association of COVID‐19 and environmental pollution should be considered as a measure of an integrated approach in sustainable development as it has strong implications for mitigation strategies related to the novel virus.Key PointsSignificant association between COVID‐19 infection with SO2, NO2, and PM10reveals spatial hot spots in MumbaiWith increase in NO2there is substantial increase in COVID‐19 deaths in MumbaiAir quality is an important element to address COVID‐19 management and sustainable urban development
  • 关键词:enCOVID‐19Mumbaiair pollutionhot spotsrespiratory infectionspatial regressionIndia
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