Exposure density and neighborhood disparities in COVID-19 infection risk
2021; National Academy of Sciences; Volume: 118; Issue: 13 Linguagem: Inglês
10.1073/pnas.2021258118
ISSN1091-6490
AutoresBoyeong Hong, Bartosz Bończak, Arpit Gupta, Lorna E. Thorpe, Constantine E. Kontokosta,
Tópico(s)COVID-19 Pandemic Impacts
ResumoSignificance We present a computational approach to measure exposure density at high spatial and temporal resolution to understand neighborhood disparities in transmission risk of COVID-19. By integrating geolocation data and granular land-use information, we are able to establish both the extent of activity in a particular neighborhood and the nature of that activity across residential, nonresidential, and outdoor activities. We then analyze the differential behavioral response to social-distancing policies based on local risk factors, built-environment characteristics, and socioeconomic inequality. Our results highlight the significant disparities in health outcomes for racial and ethnic minorities and lower-income households. Exposure density provides an additional metric to further explain and understand the disparate impact of COVID-19 on vulnerable communities.
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