Evidence map›Paper›PMID 34815243›Full record

ArticleBMJ global health2021

COVID-19 mortality in women and men in sub-Saharan Africa: a cross-sectional study.

Jyoti Dalal, Isotta Triulzi, Ananthu James, Benedict Nguimbis, Gabriela Guizzo Dri, Akarsh Venkatasubramanian, Lucie Noubi Tchoupopnou Royd, Sara Botero Mesa, Claire Somerville, Giuseppe Turchetti and 6 more

Abstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

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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

16 authors.

Jyoti Dalal *Association Actions en Santé, The GRAPH Network, Geneve, Switzerland.
Isotta Triulzi *Association Actions en Santé, The GRAPH Network, Geneve, Switzerland.ORCID 0000-0002-1421-7863
Ananthu JamesAssociation Actions en Santé, The GRAPH Network, Geneve, Switzerland.
Benedict NguimbisAssociation Actions en Santé, The GRAPH Network, Geneve, Switzerland.
Gabriela Guizzo DriAssociation Actions en Santé, The GRAPH Network, Geneve, Switzerland.
Akarsh VenkatasubramanianAssociation Actions en Santé, The GRAPH Network, Geneve, Switzerland.
Lucie Noubi Tchoupopnou RoydAssociation Actions en Santé, The GRAPH Network, Geneve, Switzerland.
Sara Botero MesaAssociation Actions en Santé, The GRAPH Network, Geneve, Switzerland.
Claire SomervilleThe Gender Center, Institute of International and Development Studies, Geneva, Switzerland.ORCID 0000-0002-2335-160X
Giuseppe TurchettiInstitute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
Beat StollAssociation Actions en Santé, The GRAPH Network, Geneve, Switzerland.
Jessica Lee AbbateAssociation Actions en Santé, The GRAPH Network, Geneve, Switzerland.
Franck MboussouWorld Health Organization Regional Office for Africa, Brazzaville, Brazzaville, Congo.
Benido ImpoumaAssociation Actions en Santé, The GRAPH Network, Geneve, Switzerland.
Olivia Keiser *Association Actions en Santé, The GRAPH Network, Geneve, Switzerland Olivia.Keiser@unige.ch.
Flávio Codeço Coelho *Association Actions en Santé, The GRAPH Network, Geneve, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

introductionSince sex-based biological and gender factors influence COVID-19 mortality, we wanted to investigate the difference in mortality rates between women and men in sub-Saharan Africa (SSA).

methodWe included 69 580 cases of COVID-19, stratified by sex (men: n=43 071; women: n=26 509) and age (0-39 years: n=41 682; 40-59 years: n=20 757; 60+ years: n=7141), from 20 member nations of the WHO African region until 1 September 2020. We computed the SSA-specific and country-specific case fatality rates (CFRs) and sex-specific CFR differences across various age groups, using a Bayesian approach.

resultsA total of 1656 deaths (2.4% of total cases reported) were reported, with men accounting for 70.5% of total deaths. In SSA, women had a lower CFR than men (mean [Formula: see text] = -0.9%; 95% credible intervals (CIs) -1.1% to -0.6%). The mean CFR estimates increased with age, with the sex-specific CFR differences being significant among those aged 40 years or more (40-59 age group: mean [Formula: see text] = -0.7%; 95% CI -1.1% to -0.2%; 60+ years age group: mean [Formula: see text] = -3.9%; 95% CI -5.3% to -2.4%). At the country level, 7 of the 20 SSA countries reported significantly lower CFRs among women than men overall. Moreover, corresponding to the age-specific datasets, significantly lower CFRs in women than men were observed in the 60+ years age group in seven countries and 40-59 years age group in one country.

conclusionsSex and age are important predictors of COVID-19 mortality globally. Countries should prioritise the collection and use of sex-disaggregated data so as to design public health interventions and ensure that policies promote a gender-sensitive public health response.

Indexed as

COVID-19AdolescentAdultAfrica South of the SaharaBayes TheoremChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleMiddle AgedSARS-CoV-2Young AdultCOVID-19epidemiology

Identifiers

PMID34815243
PMCPMC8611236

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.