Evidence map›Paper›PMID 24976436›Full record

ArticleJournal of the International AIDS Society2014

Gender inequality and HIV transmission: a global analysis.

Eugene T Richardson, Sean E Collins, Tiffany Kung, James H Jones, Khai Hoan Tram, Victoria L Boggiano, Linda-Gail Bekker, Andrew R Zolopa

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
12.2field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 132 citations in OpenAlex.

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  20. Men's migration and women's mortality in rural Mozambique.Social science & medicine (1982) · 2021
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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

8 authors at 3 institutions in 2 countries.

Eugene T RichardsonDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Anthropology, Stanford University, Stanford, CA, USA; Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa; etr@stanford.edu.
Sean E CollinsDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Tiffany KungDesmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa.
James H JonesDepartment of Anthropology, Stanford University, Stanford, CA, USA.
Khai Hoan TramDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Victoria L BoggianoDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Linda-Gail BekkerDesmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa.
Andrew R ZolopaDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Stanford University · USUniversity of Cape Town · ZADesmond Tutu HIV Foundation · ZA

Funding

Global Epidemiology of Infectious DiseasesT32AI052073 · NIAID · STANFORD UNIVERSITY · PI Angelle Desiree LaBeaud, Stephen Patrick Luby · 2003 to 2026
$4.2M
NIAID NIH HHS T32 AI052073
6 · The paper itself

Abstract

introductionThe HIV pandemic disproportionately impacts young women. Worldwide, young women aged 15-24 are infected with HIV at rates twice that of young men, and young women alone account for nearly a quarter of all new HIV infections. The incommensurate HIV incidence in young - often poor - women underscores how social and economic inequalities shape the HIV epidemic. Confluent social forces, including political and gender violence, poverty, racism, and sexism impede equal access to therapies and effective care, but most of all constrain the agency of women.

methodsHIV prevalence data was compiled from the 2010 UNAIDS Global Report. Gender inequality was assessed using the 2011 United Nations Human Development Report Gender Inequality Index (GII). Logistic regression models were created with predominant mode of transmission (heterosexual vs. MSM/IDU) as the dependent variable and GII, Muslim vs. non-Muslim, Democracy Index, male circumcision rate, log gross national income (GNI) per capita at purchasing power parity (PPP), and region as independent variables. RESULTS AND DISCUSSION: There is a significant correlation between having a predominantly heterosexual epidemic and high gender inequality across all models. There is not a significant association between whether a country is predominantly Muslim, has a high/low GNI at PPP, has a high/low circumcision rate, and its primary mode of transmission. In addition, there are only three countries that have had a generalized epidemic in the past but no longer have one: Cambodia, Honduras, and Eritrea. GII data are available only for Cambodia and Honduras, and these countries showed a 37 and 34% improvement, respectively, in their Gender Inequality Indices between 1995 and 2011. During the same period, both countries reduced their HIV prevalence below the 1% threshold of a generalized epidemic. This represents limited but compelling evidence that improvements in gender inequality can lead to the abatement of generalized epidemics.

conclusionsGender inequality is an important factor in the maintenance - and possibly in the establishment of - generalized HIV epidemics. We should view improvements in gender inequality as part of a broader public health strategy.

Indexed as

SexismFemaleGlobal HealthHealth Status DisparitiesHIV InfectionsHumansIncidenceMalePrevalenceSex FactorsAIDSgender inequalityHIVpolitical ecologystructural interventions

Identifiers

PMID24976436
PMCPMC4074603
OpenAlexW2089713329

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.