Evidence map›Paper›PMID 35422585›Full record

ArticleEconomia politica (Bologna, Italy)2022

Sex-disaggregated data matters: tracking the impact of COVID-19 on the health of women and men.

Sarah Hawkes, Athena Pantazis, Anna Purdie, Abhishek Gautam, Sylvia Kiwuwa-Muyingo, Kent Buse, Sonja Tanaka, Kakoli Borkotoky, Sneha Sharma, Ravi Verma

Open access · hybridAbstract read
In one paragraph

Article in Economia politica (Bologna, Italy), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.8field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 33 citations in OpenAlex.

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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 at 3 institutions in 4 countries.

Sarah HawkesInstitute for Global Health, UCL, and Global Health 50/50, 30 Guilford Street, London, WC1N 1EH UK.ORCID 0000-0003-1062-3538
Athena PantazisIndependent Consultant To Global Health 50/50, Maseru, Lesotho.ORCID 0000-0001-5264-6741
Anna PurdieInstitute for Global Health, UCL, and Global Health 50/50, 30 Guilford Street, London, WC1N 1EH UK.ORCID 0000-0003-3001-0392
Abhishek GautamInternational Center for Research On Women, C-59, South Extension Part -2, New Delhi , 110049 India.ORCID 0000-0003-2268-0054
Sylvia Kiwuwa-MuyingoAfrican Population and Health Research Center, APHRC Campus, Manga Close, Off Kirawa Road, P.O. Box 10787-00100, Nairobi, Kenya.
Kent BuseHealthier Societies Programme, The George Institute for Global Health and Global Health 50/50, University of New South Wales, Global Health 50/50, Paris, France.ORCID 0000-0002-5485-0110
Sonja TanakaGlobal Health 50/50, 16 A Rue Petit, Paris, France.ORCID 0000-0002-3037-1713
Kakoli BorkotokyInternational Center for Research On Women, C-59, South Extension Part -2, New Delhi , 110049 India.ORCID 0000-0002-2943-6647
Sneha SharmaInternational Center for Research On Women, C-59, South Extension Part -2, New Delhi , 110049 India.ORCID 0000-0003-1735-8474
Ravi VermaInternational Center for Research On Women, C-59, South Extension Part -2, New Delhi , 110049 India.ORCID 0000-0002-9499-5648
International Center for Research on Women · USThe George Institute for Global Health · GBAfrican Population and Health Research Center · KE

Funding

Gates Foundation INV-017909Wellcome Trust
6 · The paper itself

Abstract

Sex and gender matter to health outcomes, but despite repeated commitments to sex-disaggregate data in health policies and programmes, a persistent and substantial absence of such data remains especially in lower-income countries. This represents a missed opportunity for monitoring and identifying gender-responsive, evidence-informed solutions to address a key driver of the pandemic. In this paper we review the availability of national sex-disaggregated surveillance data on COVID-19 and examine trends on the testing-to-outcome pathway. We further analyse the availability of data according to the economic status of the country and investigate the determinants of sex differences, including the national gender inequality status (according to a global index) in each country. Results are drawn from 18 months of global data collection from over 200 countries. We find differences in COVID-19 prevention behaviours and illness outcomes by sex, with lower uptake of vaccination and testing plus an elevated risk of severe disease and death among men. Supporting and maintaining the collection, collation, interpretation and presentation of sex-disaggregated data requires commitment and resources at subnational, national and global levels, but provides an opportunity for identifying and taking gender-responsive action on health inequities. As a first step the global health community should recognise, value and support the importance of sex-disaggregated data for identifying and tackling an inequitable pandemic.

Indexed as

COVID-19Gender inequalityHealth inequitySex-disaggregated data

Identifiers

PMID35422585
PMCPMC8773398
OpenAlexW4205305007

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.