Emerging data indicate disproportionate COVID-19 death rates among members of racial/ethnic minority groups in the United States. The contribution of demographic factors, socioeconomic status (SES), population mobility, and environmental exposures is unclear. Using California death certificate data, we will study potential determinants of probable COVID-19 deaths and excess all-cause mortality during the pandemic.
In Aim 1 we will evaluate the independent contribution of acute (prior 1-8 weeks) and chronic (prior 1-2 years) air pollution exposure to COVID-19 mortality and excess all-cause mortality that has been observed during the pandemic.
In Aim 2 we will estimate the joint association of individual level demographic determinants (e.g., sex, age, race/ethnicity) and contextual factors (e.g., neighborhood demographics/SES, time-varying cell-phone based mobility, air pollution). The expected outcome of this investigation is an improved understanding of the effect of ambient air pollution on COVID-19 mortality risk and the impact of individual and contextual factors on COVID- 19 mortality, with a goal of discerning factors that may have led to the troubling higher COVID-19 mortality being observed in racial/ethnic minority populations. Study findings will have an important positive impact by identifying characteristics of high-risk, vulnerable communities that can guide more targeted and effective public health interventions. Clarifying the role of air pollution in COVID-19 deaths could be highly relevant to air quality regulations that potentially could reduce mortality.

Public Health Relevance

Demographic data on people who have died from COVID-19 during the first few months of the pandemic in the United States reveal disturbing racial/ethnic disparities. An improved understanding of what factors may be contributing to higher death rates in communities of color as well as the role of air pollution on mortality during the pandemic is critical for the identification of vulnerable communities and tailoring effective public health interventions.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Center Core Grants (P30)
Project #
3P30ES007048-25S1
Application #
10208290
Study Section
Environmental Health Sciences Review Committee (EHS)
Program Officer
Thompson, Claudia L
Project Start
1997-04-01
Project End
2021-03-31
Budget Start
2021-01-17
Budget End
2021-03-31
Support Year
25
Fiscal Year
2021
Total Cost
Indirect Cost
Name
University of Southern California
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Reiner, Anne S; Sisti, Julia; John, Esther M et al. (2018) Breast Cancer Family History and Contralateral Breast Cancer Risk in Young Women: An Update From the Women's Environmental Cancer and Radiation Epidemiology Study. J Clin Oncol 36:1513-1520
Alderete, Tanya L; Chen, Zhanghua; Toledo-Corral, Claudia M et al. (2018) Ambient and Traffic-Related Air Pollution Exposures as Novel Risk Factors for Metabolic Dysfunction and Type 2 Diabetes. Curr Epidemiol Rep 5:79-91
Laville, Vincent; Bentley, Amy R; Privé, Florian et al. (2018) VarExp: estimating variance explained by genome-wide GxE summary statistics. Bioinformatics 34:3412-3414
Kalkbrenner, Amy E; Windham, Gayle C; Zheng, Cheng et al. (2018) Air Toxics in Relation to Autism Diagnosis, Phenotype, and Severity in a U.S. Family-Based Study. Environ Health Perspect 126:037004
Stram, Douglas A; Jiang, Xuejuan; Varma, Rohit et al. (2018) Factors Associated with Prevalent Diabetic Retinopathy in Chinese Americans: The Chinese American Eye Study. Ophthalmol Retina 2:96-105
Dong, Jing; Levine, David M; Buas, Matthew F et al. (2018) Interactions Between Genetic Variants and Environmental Factors Affect Risk of Esophageal Adenocarcinoma and Barrett's Esophagus. Clin Gastroenterol Hepatol 16:1598-1606.e4
Gao, Lu; Liu, Xiaochen; Millstein, Joshua et al. (2018) Self-reported prenatal tobacco smoke exposure, AXL gene-body methylation, and childhood asthma phenotypes. Clin Epigenetics 10:98
Cortessis, Victoria K; Azadian, Moosa; Buxbaum, James et al. (2018) Comprehensive meta-analysis reveals association between multiple imprinting disorders and conception by assisted reproductive technology. J Assist Reprod Genet 35:943-952
Alderete, T L; Song, A Y; Bastain, T et al. (2018) Prenatal traffic-related air pollution exposures, cord blood adipokines and infant weight. Pediatr Obes 13:348-356
Ghosh, R; Gauderman, W J; Minor, H et al. (2018) Air pollution, weight loss and metabolic benefits of bariatric surgery: a potential model for study of metabolic effects of environmental exposures. Pediatr Obes 13:312-320

Showing the most recent 10 out of 653 publications