Related Experiment Video
Updated: Oct 19, 2025

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Excess mortality from COVID and non-COVID causes in minority populations
Christopher J Cronin1, William N Evans2
1Department of Economics, University of Notre Dame, Notre Dame, IN 46556 ccronin1@nd.edu.
Abstract:
The 2020 US mortality totaled 2.8 million after early March, which is 17.3% higher than age-population-weighted mortality over the same time interval in 2017 to 2019, for a total excess death count of 413,592. We use data on weekly death counts by cause, as well as life tables, to quantify excess mortality and life years lost from both COVID-19 and non-COVID-19 causes by race/ethnicity, age, and gender/sex. Excess mortality from non-COVID-19 causes is substantial and much more heavily concentrated among males and minorities, especially Black, non-Hispanic males, than COVID-19 deaths. Thirty-four percent of the excess life years lost for males is from non-COVID-19 causes. While minorities represent 36% of COVID-19 deaths, they represent 70% of non-COVID-19 related excess deaths and 58% of non-COVID-19 excess life years lost. Black, non-Hispanic males represent only 6.9% of the population, but they are responsible for 8.9% of COVID-19 deaths and 28% of 2020 excess deaths from non-COVID-19 causes. For this group, nearly half of the excess life years lost in 2020 are due to non-COVID-19 causes.
More Related Videos
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
09:55Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
Published on: September 28, 2022
Related Concept Videos
Bias in Epidemiological Studies
Confounding in Epidemiological Studies
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Causality in Epidemiology
Factors Affecting Illness
For instance, risk factors are connected to illness,...
Comparing the Survival Analysis of Two or More Groups