Estimating Associations between Annual Concentrations of Particulate Matter and Mortality in the United States, Using Data Linkage and Bayesian Maximum Entropy

Citation

Rudolph, Jacqueline E.; Cole, Stephen R.; Edwards, Jessie K.; Whitsel, Eric A.; Serre, Marc L.; & Richardson, David B. (2022). Estimating Associations between Annual Concentrations of Particulate Matter and Mortality in the United States, Using Data Linkage and Bayesian Maximum Entropy. Epidemiology, 33(2), 157-166. PMCID: PMC8810699

Abstract

BACKGROUND: Exposure to fine particulate matter (PM2.5) is an established risk factor for human mortality. However, previous US studies have been limited to select cities or regions or to population subsets (e.g., older adults).
METHODS: Here, we demonstrate how to use the novel geostatistical method Bayesian maximum entropy to obtain estimates of PM2.5 concentrations in all contiguous US counties, 2000-2016. We then demonstrate how one could use these estimates in a traditional epidemiologic analysis examining the association between PM2.5 and rates of all-cause, cardiovascular, respiratory, and (as a negative control outcome) accidental mortality.
RESULTS: We estimated that, for a 1 log(

URL

http://dx.doi.org/10.1097/ede.0000000000001447

Reference Type

Journal Article

Year Published

2022

Journal Title

Epidemiology

Author(s)

Rudolph, Jacqueline E.
Cole, Stephen R.
Edwards, Jessie K.
Whitsel, Eric A.
Serre, Marc L.
Richardson, David B.

Article Type

Regular

PMCID

PMC8810699

Continent/Country

United States of America

State

Nonspecific

Race/Ethnicity

White
Black
American Indian
Asian

ORCiD

Edwards, J -0000-0002-1741-335X