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 (PM
2.5
, NO
2
, and O
3
) 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 PM
2.5
, NO
2
, and O
3
were 1.11 (1.04, 1.18) per 2.3 μg/m
3
,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/m
3
for PM
2.5
, 1.09 (1.01, 1.17) per 6.0 ppb for NO
2
and 0.96 (0.85, 1.08) per 12.0 ppb for O
3
.
Conclusion
Long-term PM
2.5
and NO
2
exposures were associated with increased risk of COVID-19 incidence across all case surges before February 2021. Short-term PM
2.5
and NO
2
exposures were also associated. Our findings suggest that air pollution may play a role in increasing the risk of COVID-19 infection.