Health AI Central
Share:
Peer-Reviewed Publication
Lancet Reg Health Am2021;1100011.September 1, 2021Journal Article

A longitudinal study of convergence between Black and White COVID-19 mortality: A county fixed effects approach.

Ralph Lawton1, Kevin Zheng2, Daniel Zheng3, Erich Huang2,4
1Department of Economics, Duke University, 213 Social Sciences, 419 Chapel Drive, Durham, North Carolina, US.
2Department of Biostatistics and Bioinformatics, Duke University Medical Center, 2424 Erwin Road, Suite 1102 Hock Plaza, Box 2721, Durham, North Carolina, US.
3University of Maryland, Baltimore County, 1000 Hilltop Cir, Baltimore, Maryland, US.
4Onduo, 55 Chapel Street, Suite 300, Newton, MA, US.
PubMed PMC DOI PDF

Abstract

BACKGROUND: Non-Hispanic Black populations have suffered much greater per capita COVID-19 mortality than White populations. Previous work has shown that rates of Black and White mortality have converged over time. Understanding of COVID-19 disparities over time is complicated by geographic changes in prevalence, and some prior research has claimed that regional shifts in COVID-19 prevalence may ex…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.