Evidence map›Paper›PMID 38295114›Full record

ArticlePloS one2024

Evidence on COVID-19 Mortality and Disparities Using a Novel Measure, COVID excess mortality percentage: Evidence from Indiana, Wisconsin, and Illinois.

Vladimir Atanasov, Natalia Barreto, Lorenzo Franchi, Jeff Whittle, John Meurer, Benjamin W Weston, Qian Eric Luo, Andy Ye Yuan, Ruohao Zhang, Bernard Black

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

10 authors.

Vladimir AtanasovWilliam & Mary, Mason School of Business, Williamsburg, Virginia, United States of America.
Natalia BarretoUniversity of Illinois, Champaign-Urbana, Illinois, United States of America.
Lorenzo FranchiNorthwestern University, Evanston, Illinois, United States of America.
Jeff WhittleMedical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
John MeurerMedical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
Benjamin W WestonMedical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
Qian Eric LuoGeorge Washington University, Washington, DC, United States of America.ORCID 0000-0002-3413-9727
Andy Ye YuanNorthwestern University, Pritzker School of Law, Evanston, Illinois, United States of America.ORCID 0000-0002-1545-6129
Ruohao ZhangPennsylvania State University, State College, Pennsylvania, United States of America.ORCID 0000-0003-4197-5456
Bernard BlackNorthwestern University, Pritzker School of Law and Kellogg School of Management, Evanston, Illinois, United States of America.

Funding

Clinical and Translational Science AwardUL1TR001436 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI FREED, JULIE K · 2015 to 2025
$47.5M
NCATS NIH HHS UL1 TR001436
6 · The paper itself

Abstract

COVID-19 mortality rates increase rapidly with age, are higher among men than women, and vary across racial/ethnic groups, but this is also true for other natural causes of death. Prior research on COVID-19 mortality rates and racial/ethnic disparities in those rates has not considered to what extent disparities reflect COVID-19-specific factors, versus preexisting health differences. This study examines both questions. We study the COVID-19-related increase in mortality risk and racial/ethnic disparities in COVID-19 mortality, and how both vary with age, gender, and time period. We use a novel measure validated in prior work, the COVID Excess Mortality Percentage (CEMP), defined as the COVID-19 mortality rate (Covid-MR), divided by the non-COVID natural mortality rate during the same time period (non-Covid NMR), converted to a percentage. The CEMP denominator uses Non-COVID NMR to adjust COVID-19 mortality risk for underlying population health. The CEMP measure generates insights which differ from those using two common measures-the COVID-MR and the all-cause excess mortality rate. By studying both CEMP and COVID-MRMR, we can separate the effects of background health from Covid-specific factors affecting COVID-19 mortality. We study how CEMP and COVID-MR vary by age, gender, race/ethnicity, and time period, using data on all adult decedents from natural causes in Indiana and Wisconsin over April 2020-June 2022 and Illinois over April 2020-December 2021. CEMP levels for racial and ethnic minority groups can be very high relative to White levels, especially for Hispanics in 2020 and the first-half of 2021. For example, during 2020, CEMP for Hispanics aged 18-59 was 68.9% versus 7.2% for non-Hispanic Whites; a ratio of 9.57:1. CEMP disparities are substantial but less extreme for other demographic groups. Disparities were generally lower after age 60 and declined over our sample period. Differences in socio-economic status and education explain only a small part of these disparities.

Indexed as

COVID-19EthnicityAdultFemaleHealth Status DisparitiesHumansIllinoisIndianaMaleMinority GroupsUnited StatesWhiteWisconsin

Identifiers

PMID38295114
PMCPMC10829977

What OpenQuestion holds

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LicenceCC BY
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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.