Long-term air pollution and other risk factors associated with COVID-19 at the census tract level in Colorado.

Long-term air pollution and other risk factors associated with COVID-19 at the census tract level in Colorado.
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DOI:
10.1016/j.envpol.2021.117584
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发表时间:
2021-10-15
期刊:
Environmental pollution (Barking, Essex : 1987)
影响因子:
--
通讯作者:
Richardson K
Richardson K
中科院分区:
其他
文献类型:
--
作者:
Berg K;Romer Present P;Richardson K

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之前的全国性研究报告了细颗粒物(PM2.5)的长期浓度与COVID-19感染率和死亡率之间的联系。为了将这些结果转化到州一级,我们使用贝叶斯分层模型来探索科罗拉多长期PM2.5浓度与COVID-19结果(感染、住院和死亡)的人口普查区域水平比率之间的潜在联系。我们明确考虑如何在PM2.5估计的不确定性影响我们的结果,通过比较四个不同的PM2.5表面从学术和政府组织。在控制了20个人口普查区域水平的协变量后,我们发现我们的结果在很大程度上取决于PM2.5表面的选择。使用美国EPA的PM2.5估计值,我们发现长期PM2.5浓度增加1 μg/m3与住院相对风险增加26%和死亡率增加34%相关。所有其他表面和结局的结果均无统计学显著性。与此同时,我们发现,在科罗拉多人口普查区层面,有色人种社区与COVID-19结果之间存在明显关联,受PM2. 5表面选择的影响最小。非非洲裔美国人有色人种比例的每四分位数范围(IQR)增加分别与感染、住院和死亡的相对风险增加31%、43%和56%相关,而非西班牙裔非洲裔美国人比例的每四分位数范围增加分别与感染和住院的相对风险增加4%和7%相关。目前不同的PM2.5估计值之间的分歧是限制我们在人口普查区水平上将环境暴露与健康结果联系起来的能力的关键因素。这些结果对危机期间实施公平的公共卫生应对措施具有重要意义,并建议在科罗拉多对目标区域进行额外的空气监测。
Previous nationwide studies have reported links between long-term concentrations of fine particulate matter (PM2.5) and COVID-19 infection and mortality rates. In order to translate these results to the state level, we use Bayesian hierarchical models to explore potential links between long-term PM2.5 concentrations and census tract-level rates of COVID-19 outcomes (infections, hospitalizations, and deaths) in Colorado. We explicitly consider how the uncertainty in PM2.5 estimates affects our results by comparing four different PM2.5 surfaces from academic and governmental organizations. After controlling for 20 census tract-level covariates, we find that our results depend heavily on the choice of PM2.5 surface. Using PM2.5 estimates from the United States EPA, we find that a 1 μg/m3 increase in long-term PM2.5 concentrations is associated with a statistically significant 26% increase in the relative risk of hospitalizations and a 34% increase in mortality. Results for all other surfaces and outcomes were not statistically significant. At the same time, we find a clear association between communities of color and COVID-19 outcomes at the Colorado census tract level that is minimally affected by the choice of PM2.5 surface. A per-interquartile range (IQR) increase in the percent of non-African American people of color was associated with a 31%, 43%, and 56% increase in the relative risk of infection, hospitalization, and mortality respectively, while a per-IQR increase in the proportion of non-Hispanic African Americans was associated with a 4% and 7% increase in the relative risk of infections and hospitalizations. The current disagreement among the different PM2.5 estimates is a key factor limiting our ability to link environmental exposures and health outcomes at the census tract level. These results have strong implications for the implementation of an equitable public health response during the crisis and suggest targeted areas for additional air monitoring in Colorado.
652个城市的环境颗粒物空气污染和每日死亡率
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发表时间: 2021-01
影响因子: 11.8
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发表时间: 2020-10-17
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GBD 2019 Diseases and Injuries Collaborators
通讯作者: GBD 2019 Diseases and Injuries Collaborators
DOI: 10.1093/biostatistics/kxq017
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期刊: BIOSTATISTICS
影响因子: 2.1
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发表时间: 2020-08-04
影响因子: 5.9
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