Evidence map›Paper›PMID 35042136›Full record

ArticleSocial science & medicine (1982)2022

Sex disparities in COVID-19 outcomes in the United States: Quantifying and contextualizing variation.

Ann Caroline Danielsen, Katharine Mn Lee, Marion Boulicault, Tamara Rushovich, Annika Gompers, Amelia Tarrant, Meredith Reiches, Heather Shattuck-Heidorn, Luke W Miratrix, Sarah S Richardson

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
–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

63 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Limitations of the Male/Female Binary for Studying the Influences of Sex- and Gender-Related Factors on Health.American journal of human biology : the official journal of the Human Biology Council · 2025
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3 more citing papers are in PubMed but not listed here.

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.

Ann Caroline DanielsenHarvard GenderSci Lab, Boylston Hall G-34, Cambridge, MA, 02138, USA. Electronic address: adanielsen@hsph.harvard.edu.
Katharine Mn LeeDivision of Public Health Sciences, Washington University in St. Louis School of Medicine, 660 S. Euclid Ave, Campus Box 8100, St. Louis, MO, 63110, USA.
Marion BoulicaultDepartment of Linguistics and Philosophy, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA; Department of Philosophy, University of Adelaide, 259 North Terrace, Adelaide, SA, 5000, Australia.
Tamara RushovichDepartment of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
Annika GompersDepartment of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02215, USA.
Amelia TarrantDepartment of Human Evolutionary Biology, Harvard University, 11 Divinity Avenue, Cambridge, MA, 02138, USA.
Meredith ReichesDepartment of Anthropology, University of Massachusetts Boston, 100 Morrissey Blvd, Boston, MA, 02125, USA.
Heather Shattuck-HeidornWomen and Gender Studies, University of Southern Maine, 94 Bedford Street, Portland, ME, 04102, USA.
Luke W MiratrixHarvard Graduate School of Education, 13 Appian Way, Cambridge, MA, 02138, USA.
Sarah S RichardsonDepartment of the History of Science, Harvard University, 1 Oxford St, Cambridge, MA, 02138, USA; Committee on Degrees in Studies of Women, Gender, and Sexuality, Harvard University, Boylston Hall, Cambridge, MA, 02138, USA.

Funding

Postdoctoral Training in Cancer Prevention and ControlT32CA190194 · NCI · WASHINGTON UNIVERSITY · PI GRAHAM A. COLDITZ, AIMEE S JAMES · 2014 to 2026
$4.7M
NCI NIH HHS T32 CA190194
6 · The paper itself

Abstract

This paper presents the first longitudinal study of sex disparities in COVID-19 cases and mortalities across U.S. states, derived from the unique 13-month dataset of the U.S. Gender/Sex COVID-19 Data Tracker. To analyze sex disparities, weekly case and mortality rates by sex and mortality rate ratios were computed for each U.S. state, and a multilevel crossed-effects conditional logistic binomial regression model was fitted to estimate the variation of the sex disparity in mortality over time and across states. Results demonstrate considerable variation in the sex disparity in COVID-19 cases and mortalities over time and between states. These data suggest that the sex disparity, when present, is modest, and likely varies in relation to context-sensitive variables, which may include health behaviors, preexisting health status, occupation, race/ethnicity, and other markers of social experience.

Indexed as

COVID-19EthnicityHealth Status DisparitiesHumansLongitudinal StudiesSARS-CoV-2United StatesBiological essentialismCOVID-19GenderSex disparities

Identifiers

PMID35042136
PMCPMC8743486

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.