Death, Inequality, and the Pandemic in the Nation's Capital
Alva, M.; Illa, S. S.; Haber, J. R.
Show abstract
Abrupt changes in mortality rates and life expectancy allow us to understand how shocks like COVID-19 can exacerbate health inequalities across groups. We look at Washington, D.C., a major city with a diverse population and long-standing socio-economic divisions, to describe the all-cause mortality trends from 2015 to 2021 by age, sex, race, and ward of residence. We report differences in cause-specific mortality pre- and post-COVID-19 outbreak and estimate the Years of Life Lost (YLL) attributable to COVID-19. We compute death rates using information from death certificates and the Census, and we calculate YLL using the life table approach, comparing the life expectancy of people with and without COVID-19. We find that in 2020 and 2021, there were respectively 1,128 and 629 excess deaths (158 per 100K and 94 per 100K) compared to the annual average over the previous five years, and 689 and 363 deaths in 2020 and 2021, respectively (97 per 100K and 54 per 100K) listing COVID-19 as a cause of death. Death rates in 2020 and 2021, compared to the five previous years, were higher for men than women by about 12pp and 5pp and occurred almost entirely among residents 45 and older. Excess deaths between 2020 and 2021 were higher for Black and Hispanic residents by about 286 and 97 per 100K, respectively--with the highest proportional increase (almost twofold) for Hispanics in 2020. YLL was highest for Hispanic males and lowest for White females. Significance StatementThe leading causes of death in DC were historically heart disease and cancer. In 2020, the leading cause of death was COVID. Accidental and violent deaths increased dramatically and disproportionately by race. Racial disparities in COVID and non-COVID deaths indicate that these correlate with socioeconomic conditions. Life expectancy in the United States decreased for the first time in 2020 due to COVID-19. In the nations capital, the decline in life expectancy was more significant for Hispanic and non-Hispanic Black than White people, widening the already large difference in life expectancy among these groups.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Application of Elastic Net Regression for Modeling COVID-19 Sociodemographic Risk Factors 94%
- Effects of trust, risk perception, and health behavior on COVID-19 disease burden: Evidence from a multi-state US survey 92%
- Excess mortality associated with the COVID-19 pandemic among Californians 18–65 years of age, by occupational sector and occupation: March through October 2020 92%
Similar papers in this journal
- COVID-19 Mortality in California Based on Death Certificates: Disproportionate Impacts Across Racial/Ethnic Groups and Nativity 93%
- Racial/Ethnic Disparities in the Observed COVID-19 Case Fatality Rate Among the U.S. Population 93%
- Increasing concentration of COVID-19 by socioeconomic determinants and geography in Toronto, Canada: an observational study 91%
Similar papers in this journal
- Unequal Benefits: The Effects of Health Insurance Integration on Consumption Inequality in Rural China 91%
- Social contacts and transmission of COVID-19 in British Columbia, Canada 90%
- The Survey of the Health of Wisconsin (SHOW) Program: An infrastructure for Advancing Population Health Sciences 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.