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Population-weighted exposure to air pollution and COVID-19 incidence in Germany.
Huang, Guowen; Brown, Patrick E.
  • Huang G; Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada.
  • Brown PE; Centre for Global Health Research, St Michael's Hospital, Toronto, ON, Canada.
Spat Stat ; 41: 100480, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-899515
ABSTRACT
Many countries have enforced social distancing to stop the spread of COVID-19. Within countries, although the measures taken by governments are similar, the incidence rate varies among areas (e.g., counties, cities). One potential explanation is that people in some areas are more vulnerable to the coronavirus disease because of their worsened health conditions caused by long-term exposure to poor air quality. In this study, we investigate whether long-term exposure to air pollution increases the risk of COVID-19 infection in Germany. The results show that nitrogen dioxide (NO 2 ) is significantly associated with COVID-19 incidence, with a 1 µ g  m - 3 increase in long-term exposure to NO 2 increasing the COVID-19 incidence rate by 5.58% (95% credible interval [CI] 3.35%, 7.86%). This result is consistent across various models. The analyses can be reproduced and updated routinely using public data sources and shared R code.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Spat Stat Year: 2021 Document Type: Article Affiliation country: J.spasta.2020.100480

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Spat Stat Year: 2021 Document Type: Article Affiliation country: J.spasta.2020.100480