Environmental Factors Predicting Risk of Severe COVID Infection

Information

  • Research Project
  • 10208054
  • ApplicationId
    10208054
  • Core Project Number
    R21ES032973
  • Full Project Number
    1R21ES032973-01
  • Serial Number
    032973
  • FOA Number
    RFA-ES-19-011
  • Sub Project Id
  • Project Start Date
    9/14/2021 - 2 years ago
  • Project End Date
    8/31/2023 - 9 months ago
  • Program Officer Name
    JOUBERT, BONNIE
  • Budget Start Date
    9/14/2021 - 2 years ago
  • Budget End Date
    8/31/2022 - a year ago
  • Fiscal Year
    2021
  • Support Year
    01
  • Suffix
  • Award Notice Date
    9/13/2021 - 2 years ago
Organizations

Environmental Factors Predicting Risk of Severe COVID Infection

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.

IC Name
NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES
  • Activity
    R21
  • Administering IC
    ES
  • Application Type
    1
  • Direct Cost Amount
    150000
  • Indirect Cost Amount
    92800
  • Total Cost
    242800
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    113
  • Ed Inst. Type
  • Funding ICs
    NIEHS:242800\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZES1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    NATIONAL JEWISH HEALTH
  • Organization Department
  • Organization DUNS
    076443019
  • Organization City
    DENVER
  • Organization State
    CO
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    802062761
  • Organization District
    UNITED STATES