Evidence map›Paper›PMID 39468478›Full record

ArticleBMC public health2024

Intersectionality of sex and race in COVID-19 mortality and vaccination inequities in Massachusetts.

Allison Boretsky, Victoria Fisher, Nadia N Abuelezam

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Allison BoretskyBoston College Connell School of Nursing, Maloney Hall, 140 Commonwealth Ave, Chestnut Hill, MA, 02467, USA. allisonboretsky@gmail.com.ORCID 0000-0002-6241-1097
Victoria FisherBoston College Connell School of Nursing, Maloney Hall, 140 Commonwealth Ave, Chestnut Hill, MA, 02467, USA.
Nadia N AbuelezamBoston College Connell School of Nursing, Maloney Hall, 140 Commonwealth Ave, Chestnut Hill, MA, 02467, USA.

Funding

Advancing Methods in Infectious Diseases Models: Incorporating Structural CausesR35GM142863 · NIGMS · BOSTON COLLEGE · PI ABUELEZAM, NADIA NATASHA · 2021 to 2024
$1.6M
NIGMS NIH HHS R35 GM142863
6 · The paper itself

Abstract

backgroundInequities in COVID-19 incidence, morbidity, and mortality between racial and ethnic groups in the United States (U.S.) have been documented since the start of the pandemic in early 2020. Similarly, disparities by sex for COVID-19 morbidity and mortality have emerged, with men dying at a higher rate than women. Little research has been done to understand how the intersection of sex and race impacts COVID-19 inequities in Massachusetts (MA). This cross-sectional study examined how COVID-19 mortality rates (February 2020- May 2023) and vaccination rates (December 2020-February 2023) varied by sex across racial groups in MA.

methodsUsing Massachusetts Department of Public Health data of all COVID-19 mortality cases and primary series vaccinations in MA from 2020 to 2023, we calculated both age-specific and age-adjusted COVID-19 mortality rates in order to account for differences in age distributions across sex-race groups.

resultsOverall, men across all age-race groups consistently had a higher mortality rate compared to their female counterparts. The age-standardized mortality rate difference between White men and White women is the smallest, with the rate for White men being 1.3 times higher than White women. The age-standardized mortality rate between Hispanic men and Hispanic women varies the largest, with the rate for Hispanic men being 1.7 times higher than Hispanic women. Notably, Black women and White women have similar vaccination rates, yet the age-standardized mortality rate for Black women is 1.4 times the rate of White women.

conclusionsOur findings show that there are disparities at the intersection of sex and race for COVID-19 mortality and vaccination in MA. This highlights the importance for targeted COVID-19 interventions at the intersection of sex and race and the need for detailed COVID-19 reporting by sex within race groups.

Indexed as

COVID-19Healthcare DisparitiesVaccinationAdolescentAdultAgedAged, 80 and overCOVID-19 VaccinesCross-Sectional StudiesFemaleHealth Status DisparitiesHumansMaleMassachusettsMiddle AgedRacial GroupsCOVID-19 VaccinesCOVID-19Health disparitiesIntersectionalityVaccination

Identifiers

PMID39468478
PMCPMC11520858

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LicenceCC BY
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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.