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Ambient air pollution and COVID-19 incidence during four 2020-2021 case surges.
Sidell, Margo A; Chen, Zhanghua; Huang, Brian Z; Chow, Ting; Eckel, Sandrah P; Martinez, Mayra P; Lurmann, Fred; Thomas, Duncan C; Gilliland, Frank D; Xiang, Anny H.
  • Sidell MA; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
  • Chen Z; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Huang BZ; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Chow T; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
  • Eckel SP; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Martinez MP; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
  • Lurmann F; Sonoma Technology, Inc., Petaluma, CA, USA.
  • Thomas DC; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Gilliland FD; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Xiang AH; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA. Electronic address: anny.h.xiang@kp.org.
Environ Res ; 208: 112758, 2022 05 15.
Artigo em Inglês | MEDLINE | ID: covidwho-1637740
ABSTRACT

BACKGROUND:

Air pollution exposure may make people more vulnerable to COVID-19 infection. However, previous studies in this area mostly focused on infection before May 2020 and long-term exposure.

OBJECTIVE:

To assess both long-term and short-term exposure to air pollution and COVID-19 incidence across four case surges from 03/1/2020 to 02/28/2021.

METHODS:

The cohort included 4.6 million members from a large integrated health care system in southern California with comprehensive electronic medical records (EMR). COVID-19 cases were identified from EMR. Incidence of COVID-19 was computed at the census tract-level among members. Prior 1-month and 1-year averaged air pollutant levels (PM2.5, NO2, and O3) at the census tract-level were estimated based on hourly and daily air quality data. Data analyses were conducted by each wave 3/1/2020-5/31/2020, 6/1/202-9/30/2020, 10/1/2020-12/31/2020, and 1/1/2021-2/28/2021 and pooled across waves using meta-analysis. Generalized linear mixed effects models with Poisson distribution and spatial autocorrelation were used with adjustment for meteorological factors and census tract-level social and health characteristics. Results were expressed as relative risk (RR) per 1 standard deviation.

RESULTS:

The cohort included 446,440 COVID-19 cases covering 4609 census tracts. The pooled RRs (95% CI) of COVID-19 incidence associated with 1-year exposures to PM2.5, NO2, and O3 were 1.11 (1.04, 1.18) per 2.3 µg/m3,1.09 (1.02, 1.17) per 3.2 ppb, and 1.06 (1.00, 1.12) per 5.5 ppb respectively. The corresponding RRs (95% CI) associated with prior 1-month exposures were 1.11 (1.03, 1.20) per 5.2 µg/m3 for PM2.5, 1.09 (1.01, 1.17) per 6.0 ppb for NO2 and 0.96 (0.85, 1.08) per 12.0 ppb for O3.

CONCLUSION:

Long-term PM2.5 and NO2 exposures were associated with increased risk of COVID-19 incidence across all case surges before February 2021. Short-term PM2.5 and NO2 exposures were also associated. Our findings suggest that air pollution may play a role in increasing the risk of COVID-19 infection.
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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar / COVID-19 Tipo de estudo: Estudo de coorte / Estudo observacional / Estudo prognóstico / Revisões Limite: Humanos Idioma: Inglês Revista: Environ Res Ano de publicação: 2022 Tipo de documento: Artigo País de afiliação: J.ENVRES.2022.112758

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar / COVID-19 Tipo de estudo: Estudo de coorte / Estudo observacional / Estudo prognóstico / Revisões Limite: Humanos Idioma: Inglês Revista: Environ Res Ano de publicação: 2022 Tipo de documento: Artigo País de afiliação: J.ENVRES.2022.112758