Ambient air pollution and COVID-19 incidence during four 2020-2021 case surges.
Ambient air pollution and COVID-19 incidence during four 2020-2021 case surges.
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DOI：
10.1016/j.envres.2022.112758
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发表时间：
2022-05-15
影响因子：
8.3
通讯作者：
Xiang AH
中科院分区：
文献类型：
--
作者：
Sidell MA;Chen Z;Huang BZ;Chow T;Eckel SP;Martinez MP;Lurmann F;Thomas DC;Gilliland FD;Xiang AH
接触空气污染可能使人们更容易感染COVID-19。然而，此前在这一领域的研究主要集中在2020年5月之前的感染和长期接触。评估2020年1月3日至2021年2月28日期间四次病例激增的长期和短期空气污染暴露和COVID-19发病率。该队列包括来自南加州一个大型综合医疗保健系统的460万名成员，该系统拥有全面的电子医疗记录（EMR）。从电子病历中确定COVID-19病例。在人口普查区水平上计算成员中COVID-19的发病率。基于每小时和每天的空气质量数据，估算了人口普查区一级前一个月和一年的平均空气污染物水平（PM2.5， NO2和O3）。数据分析按每一波进行：3/1/2020-5/31/2020、6/1/202-9/30/2020、10/1/2020-12/31/2020和1/1/2021-2/28/2021，并采用meta分析汇总各波的数据。采用具有泊松分布和空间自相关的广义线性混合效应模型，并对气象因素和人口普查区水平的社会和健康特征进行了调整。结果以每1个标准差的相对危险度（RR）表示。该队列包括4609个人口普查区的446440例COVID-19病例。与PM2.5、NO2和O3暴露1年相关的COVID-19发病率的合并rr （95% CI）分别为1.11 (1.04,1.18)/ 2.3 μg/m3、1.09 (1.02,1.17)/ 3.2 ppb和1.06 (1.00,1.12)/ 5.5 ppb。与先前1个月暴露相关的相应rr （95% CI）为PM2.5每5.2 μg/m3 1.11 (1.03, 1.20)， NO2每6.0 ppb 1.09 (1.01, 1.17)， O3每12.0 ppb 0.96（0.85, 1.08）。在2021年2月之前的所有病例激增中，长期暴露于PM2.5和二氧化氮与COVID-19发病率增加有关。短期PM2.5和二氧化氮暴露也有关联。我们的研究结果表明，空气污染可能在增加COVID-19感染风险方面发挥作用。
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. 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. 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. 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. 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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DOI：
10.3390/ijerph17249275
发表时间：
2020-12-11
影响因子：
--
作者：
Hutter HP;Poteser M;Moshammer H;Lemmerer K;Mayer M;Weitensfelder L;Wallner P;Kundi M
通讯作者：
Kundi M
DOI：
10.3390/ijerph17114047
发表时间：
2020-06-01
影响因子：
--
作者：
Adhikari, Atin;Yin, Jingjing
通讯作者：
Yin, Jingjing
影响因子：
8.3
作者：
Bontempi, E.
通讯作者：
Bontempi, E.
影响因子：
5.9
作者：
Cole, Matthew A.;Ozgen, Ceren;Strobl, Eric
通讯作者：
Strobl, Eric
影响因子：
4.7
作者：
Fronza, Raffaele;Lusic, Marina;Lucic, Bojana
通讯作者：
Lucic, Bojana