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Independent associations of short- and long-term air pollution exposure with COVID-19 mortality among Californians.
Marian, Brittney; Yan, Ying; Chen, Zhanghua; Lurmann, Fred; Li, Kenan; Gilliland, Frank; Eckel, Sandrah P; Garcia, Erika.
  • Marian B; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States of America.
  • Yan Y; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States of America.
  • Chen Z; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States of America.
  • Lurmann F; Sonoma Technology, Inc, Petaluma, CA, United States of America.
  • Li K; Spatial Sciences Institute, University of Southern California, Los Angeles, CA, United States of America.
  • Gilliland F; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States of America.
  • Eckel SP; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States of America.
  • Garcia E; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, United States of America.
Environ Adv ; 9: 100280, 2022 Oct.
Artigo em Inglês | MEDLINE | ID: covidwho-2049181
ABSTRACT
The growing literature demonstrating air pollution associations on COVID-19 mortality contains studies predominantly examining long-term exposure, with few on short-term exposure, and rarely both together to estimate independent associations. Because mechanisms by which air pollution may impact COVID-19 mortality risk function over timescales ranging from years to days, and given correlation among exposure time windows, consideration of both short- and long-term exposure is of importance. We assessed the independent associations between COVID-19 mortality rates with short- and long-term air pollution exposure by modeling both concurrently. Using California death certificate data COVID-19-related deaths were identified, and decedent residential information used to assess short- (4-week mean) and long-term (6-year mean) exposure to particulate matter <2.5µm (PM2.5), nitrogen dioxide (NO2), and ozone (O3). Negative binomial mixed models were fitted on weekly census tract COVID-19 mortality adjusting for potential confounders with random effects for county and census tract and an offset for population. Data were evaluated separately for two time periods March 16, 2020-October 18, 2020 and October 19, 2020-April 25, 2021, representing the Spring/Summer surges and Winter surge. Independent positive associations with COVID-19 mortality were observed for short- and long-term PM2.5 in both study periods, with strongest associations observed in the first study period COVID-19 mortality rate ratio for a 2-µg/m3 increase in long-term PM2.5 was 1.13 (95%CI1.09,1.17) and for a 4.7-µg/m3 increase in short-term PM2.5 was 1.05 (95%CI1.02,1.08). Statistically significant positive associations were seen for both short- and long-term NO2 in study period 1, but short-term NO2 was not statistically significant in study period 2. Results for long-term O3 indicate positive associations, however, only marginal significance is achieved in study period 1. These findings support an adverse effect of long-term PM2.5 and NO2 exposure on COVID-19 mortality risk, independent of short-term exposure, and a possible independent effect of short-term PM2.5.
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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Tipo de estudo: Estudo experimental / Estudo prognóstico / Ensaios controlados aleatorizados Tópicos: Covid persistente Idioma: Inglês Revista: Environ Adv Ano de publicação: 2022 Tipo de documento: Artigo País de afiliação: J.envadv.2022.100280

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Tipo de estudo: Estudo experimental / Estudo prognóstico / Ensaios controlados aleatorizados Tópicos: Covid persistente Idioma: Inglês Revista: Environ Adv Ano de publicação: 2022 Tipo de documento: Artigo País de afiliação: J.envadv.2022.100280