Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States.

ABSTRACT: Imposing stricter regulations for PM2.5 has the potential to mitigate damaging health and climate change effects. Recent evidence establishing a link between exposure to air pollution and COVID-19 outcomes is one of many arguments for the need to reduce the National Ambient Air Quality Standards (NAAQS) for PM2.5. However, many studies reporting a relationship between COVID-19 outcomes and PM2.5 have been criticized because they are based on ecological regression analyses, where area-level counts of COVID-19 outcomes are regressed on area-level exposure to air pollution and other covariates. It is well known that regression models solely based on area-level data are subject to ecological bias, i.e., they may provide a biased estimate of the association at the individual-level, due to withi

SUBMITTER: Woodward SM 

PROVIDER: S-EPMC10395946 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature