Evidence map›Paper›PMID 42469685›Full record

ArticleBMC public health2026

Death, inequality, and the pandemic in the nation's capital.

Maria L Alva, Srujana S Illa, Jaren Haber

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Maria L AlvaDepartment of Health Management and Policy, Georgetown University, Washington, DC, USA. mla72@georgetown.edu.
Srujana S IllaMcCourt School of Public Policy, Georgetown University, Washington, DC, USA.
Jaren HaberQuantitative Social Sciences, Dartmouth College, Hanover, NH, USA.

Funding

The use of online obituaries as a tool for public health surveillanceR03AI163978 · NIAID · GEORGETOWN UNIVERSITY · PI ALVA, MARIA LILIANA · 2022 to 2023
$156k
National Institute of Allergy and Infectious Diseases R03AI16397801NIAID NIH HHS R03 AI163978
6 · The paper itself

Abstract

backgroundAbrupt changes in mortality rates and life expectancy provide critical insights into how crises like COVID-19 exacerbate health inequalities across demographic groups. Washington, DC, a city marked by substantial socioeconomic and racial diversity, is a valuable case study to examine the pandemic's impact. Data on all-cause mortality, cause-specific mortality, and life expectancy highlight how pre-existing disparities have widened across sociodemographic groups relative to pre-pandemic levels.

methodsWe analyzed death certificates from 2015 to 2021 obtained from the DC Department of Health's Vital Records, alongside annual estimates from the Census Bureau's American Community Survey. Mortality rate trends were assessed by age, sex, race/ethnicity, and geographic location of residence with comparisons anchored in the 2015-2019 baseline period. Using a life table approach, we estimated years of lost life expectancy (LLE) attributable to COVID-19.

resultsIn 2020 and 2021, Washington, DC experienced 1,128 and 629 excess deaths, respectively, compared to the annual average over the preceding five years (158 and 94 per 100,000 population). Of these, 689 and 363 deaths were directly attributed to COVID-19 (97 and 54 per 100,000). Accidental and violent deaths disproportionately increased among specific racial and ethnic groups. Excess mortality rates were higher among men than women by approximately 12 and 5% points in 2020 and 2021, with the majority occurring in residents aged 45 and older. Black and Hispanic residents faced significantly elevated excess death rates-286 and 97 per 100,000, respectively-while Hispanic residents experienced the largest proportional increase in 2020, nearly doubling their pre-pandemic rates. Life expectancy in DC declined by 2.7 years in 2020, exceeding the national decline of 1.8 years. The greatest LLE was observed in Hispanic males, while White females experienced the lowest LLE.

conclusionsLocal-level sociodemographic analyses uncover intersectional health inequalities often obscured in national statistics. The demographic disparities in life expectancy observed in Washington, DC underscore deepening longevity gaps with profound intergenerational consequences beyond the immediate morbidity and mortality of the COVID-19 pandemic.

Indexed as

COVID-19Health Status DisparitiesLife ExpectancyMortalityAdolescentAdultAgedAged, 80 and overCause of DeathChildChild, PreschoolDistrict of ColumbiaFemaleHumansInfantMaleCOVID-19DemographicsDisease BurdenLoss in Life ExpectancyMortality

Identifiers

PMID42469685
PMCPMC13660219

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.