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ABSTRACT: Introduction
To better understand the inequitable impact of the pandemic by examining associations between stay-at-home orders and indoor smoking in public housing, measured by ambient particulate matter (PM2.5), a marker for secondhand smoke (SHS).Methods
PM2.5 was measured in six public housing buildings in Norfolk, VA from 2018 - 2022. Multi-level regression was used to compare the seven-week period of the Virginia stay-at-home order in 2020 with that period in other years.Results
Indoor PM2.5 was 10.29 μg/m3 higher in 2020 (95% CI [8.51, 12.07]) relative to the same period in 2019, a 72% increase. While PM2.5 improved in 2021 and 2022, it remained elevated relative to 2019.Conclusions
Stay-at-home orders likely led to increased indoor SHS in public housing. In light of evidence linking air pollutants, including SHS, with COVID-19, these results also provide further evidence of the disproportionate impact of the pandemic on socioeconomically disadvantaged communities. This consequence of the pandemic response is unlikely to be isolated and calls for a critical examination of the COVID-19 experience to avoid similar policy failures in future public health crises.
SUBMITTER: Gehlert S
PROVIDER: S-EPMC9984233 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature
Gehlert Sarah S Rees Vaughan W VW Choi Kelvin K Jackson Peter D PD Sheehan Brynn E BE Grucza Richard A RA Paulson Amy C AC Plunk Andrew D AD
American journal of preventive medicine 20230304 3
<h4>Introduction</h4>This study aimed to better understand the inequitable impact of the pandemic by examining the associations between stay-at-home orders and indoor smoking in public housing, measured by ambient particulate matter at the 2.5-micron threshold, a marker for secondhand smoke.<h4>Methods</h4>Particulate matter at the 2.5-micron threshold was measured in 6 public-housing buildings in Norfolk, VA from 2018 to 2022. Multilevel regression was used to compare the 7-week period of the V ...[more]