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

• 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
• 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

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.

项目总结/摘要 本项目的目的是确定空气污染对以下风险和严重程度的影响： COVID-19疾病。空气污染可能会增加肺部病毒感染的风险 有新的证据表明，在空气污染严重的地区， 污染程度很高。确定增加COVID-19疾病风险的因素将 重大公共卫生影响。我们将评估COVID-19的发病率、流行率和严重程度 COPDGene内的感染，这是一个特征良好的纵向队列， 没有肺部疾病该队列分布在美国的20个临床中心 国家和包括具有广泛的社会经济特征分布的主题，农村 城市地区和空气污染暴露。队列中的非裔美国人 科目我们将使用县一级的模型调整其他社会经济因素 人口普查数据，并将队列数据标准化为县级疾病流行率。纵向 将分析COVID-19发病率与每月空气污染水平变化的关系， 并将研究既存肺部疾病对结局的影响。空气 污染数据将基于使用卫星和地面对该群体进行的空间分析 监测颗粒物、氮氧化物、二氧化硫、一氧化碳和臭氧的措施，以确定改变 风险：任何疾病、严重疾病或死亡。空气污染对肺结构的影响 COVID-19疾病后的损害将使用COVID前后的胸部CT扫描进行测量， 肺功能测定的变化，以确定肺受累的程度和持续影响。