Environmental equity and COVID-19 experiences in the United States: Results from three survey waves of a nationally representative study conducted between 2020-2022 (preprint)

Certain environmental exposures, such as air pollution, are associated with COVID-19 incidence and mortality. To determine whether environmental context is associated with other COVID-19 experiences, we used data from the nationally representative Tufts Equity in Health, Wealth, and Civic Engagement Study data (n=1785; three survey waves 2020-2022). Environmental context was assessed using self-reported climate stress and county-level air pollution, greenness, toxic release inventory site, and heatwave data. Self-reported COVID-19 experiences included willingness to vaccinate against COVID-19, health impacts from COVID-19, receiving assistance for COVID-19, and provisioning assistance for COVID-19. Self-reported climate stress in 2020 or 2021 was associated with increased COVID-19 vaccination willingness by 2022 (odds ratio [OR] = 2.35; 95% confidence interval [CI] = 1.47, 3.76), even after adjusting for political affiliation (OR = 1.79; 95% CI = 1.09, 2.93). Self-reported climate stress in 2020 was also associated with increased likelihood of receiving COVID-19 assistance by 2021 (OR = 1.89; 95% CI = 1.29, 2.78). County-level exposures (i.e., less greenness, more toxic release inventory sites, more heatwaves) were associated with increased vaccination willingness. Air pollution exposure in 2020 was positively associated with likelihood of provisioning COVID-19 assistance in 2020 (OR = 1.16 per ug/m3; 95% CI = 1.02, 1.32). Associations between certain environmental exposures and certain COVID-19 outcomes were stronger among those who identify as a race/ethnicity other than non-Hispanic White and among those who reported experiencing discrimination; however, these trends were not consistent. A latent variable representing a summary construct for environmental context was associated with COVID-19 vaccination willingness. Our results add to the growing body of literature suggesting that intersectional equity issues affecting likelihood of exposure to adverse environmental conditions are also associated with health-related outcomes.

The impact of high frequency rapid viral antigen screening on COVID-19 spread and outcomes: a validation and modeling study (preprint)

High frequency screening of populations has been proposed as a strategy in facilitating control of the COVID-19 pandemic. Here we develop a model to evaluate the impact of rapid testing on COVID-19 spread and outcomes, inspired by our clinically validated direct antigen rapid test (DART) for detection of SARS-CoV-2 spike glycoprotein. Using patient nasopharyngeal swab specimens we demonstrate that the DART sensitivity and specificity are 84.7% and 85.7%, respectively; moreover, sensitivity increases proportionally with higher viral loads. Based on surveillance data on COVID-19 from the United States and Sao Jose do Rio Preto, Brazil we show that frequent and strategic population-wide rapid testing, even at varied accuracy levels, is more effective than virus detection via polymerase chain reaction at reducing COVID-19 infections, hospitalizations, and deaths. While current policy emphasizes testing accuracy, we propose large-scale antigen-based surveillance as a vital strategy to control SARS-CoV-2 spread and to enable societal re-opening.