Environmental Factors Predicting Risk of Severe COVID Infection

预测严重新冠病毒感染风险的环境因素

基本信息

批准号：
10208054
负责人：
ELIZABETH ANNE REGAN
金额：
$ 24.28万
依托单位：
NATIONAL JEWISH HEALTH
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-14 至 2023-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10208054
关键词：
2019-nCoV Address African American Air Pollutants Air Pollution Airway Disease COVID-19 COVID-19 morbidity COVID-19 mortality COVID-19 pandemic COVID-19 severity Censuses Cessation of life Characteristics Chronic Chronic Obstructive Airway Disease Cohort Analysis Contracts County Crowding Data Data Collection Diabetes Mellitus Disease Economic Factors Enrollment Environmental Risk Factor Exposure to Gases Genetic Hispanics Hospitalization Housing Hypertension Image Incidence Individual Infection Institutes Link Location Long-Term Effects Longitudinal cohort Longitudinal cohort study Lung Lung diseases Lung infections Measurement Measures Medical Meteorology Modeling Modification Monitor Observational Study Outcome Ozone Parents Participant Particulate Phenotype Play Predictive Factor Predisposition Prevalence Public Health Research Risk Risk Factors Role SARS-CoV-2 infection Severity of illness Smoker Social Distance Socioeconomic Factors Spirometry Structure Time United States Update Variant Viral Virus Virus Diseases Workplace X-Ray Computed Tomography airway inflammation ambient air pollution base chest computed tomography clinical center coarse particles cohort comorbidity coronavirus disease disorder risk former smoker geographic difference high risk high risk population instrument longitudinal analysis older men pandemic disease particle pollutant professional atmosphere residence respiratory risk mitigation rural area severe COVID-19 small airways disease social socioeconomics transmission process trend urban area viral detection

项目摘要

Project Summary/ Abstract The objective of this project is to identify the effect of air pollution on the risk and severity of COVID-19 illness. Air pollution may increase the risk of viral infections of the lung in general and there is emerging evidence that COVID-19 illness may be increased in regions where air pollution levels are high. Identification of factors that increase risk of COVID-19 illness will have major public health impacts. We will assess the incidence, prevalence and severity of COVID-19 infection within COPDGene, a well-characterized, longitudinal cohort of subjects with and without existing lung disease. The cohort is distributed at 20 clinical centers across the United States and includes subjects with a broad distribution of socioeconomic characteristics, rural and urban locations and air pollution exposures. The cohort was enriched for African-American subjects. We will adjust for other socioeconomic factors in the models using county level census data and normalize the cohort data to county level disease prevalence. Longitudinal analyses of COVID-19 incidence in relation to changing levels of monthly air pollution will be done and the impact of pre-existing lung disease on the outcomes will be studied. The air pollution data will be based on spatial analysis of the cohort using satellite and ground monitoring measures of particulates, NOx, SO2, CO and ozone, to identify factors that modify risk of: any disease, severe disease or death. The impact of air pollution on lung structural damage after COVID-19 illness will be measured using pre and post-COVID chest CT scans and spirometric changes in the cohort to identify extent of lung involvement and persistent effects.

项目摘要/摘要该项目的目的是确定空气污染对 2019冠状病毒病。一般而言，空气污染可能会增加肺部病毒感染的风险并且有新兴的证据表明，在空气中的地区可能会增加Covid-19疾病污染水平很高。识别增加Covid-19疾病风险的因素将有主要的公共卫生影响。我们将评估COVID-19的发病率，患病率和严重程度 Copdgene内的感染，与和和没有现有的肺部疾病。该队列分布在整个联合的20个临床中心国家，包括广泛分布社会经济特征，农村的主题以及城市地点和空气污染暴露。该队列被非裔美国人丰富主题。我们将使用县级别的模型中的其他社会经济因素调整人口普查数据并将队列数据标准化为县级疾病患病率。纵向与每月空气污染水平变化有关的Covid-19发病率的分析将是将研究肺部疾病对结局的影响和影响。空气污染数据将基于使用卫星和地面对队列的空间分析监测颗粒，NOX，SO2，CO和臭氧的测量，以识别修饰的因素风险：任何疾病，严重疾病或死亡。空气污染对肺结构的影响在Covid-19疾病后的损害将使用前后胸部CT扫描和肺同伴的肺活量变化，以确定肺参与程度和持续作用的程度。