SynthesisJournal of the International AIDS Society2010
Concurrent sexual partnerships do not explain the HIV epidemics in Africa: a systematic review of the evidence.
Synthesis in Journal of the International AIDS Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
61 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Concurrent partnerships and HIV: an inconvenient truth.Journal of the International AIDS Society · 2011Pooled it
- Effects of partnership change on microbicide gel adherence in a clinical trial (HPTN 035).AIDS and behavior · 2014Trial
- Attitudes toward sexual partner concurrency: development and evaluation of a brief, self-report measure for field research.AIDS and behavior · 2013Trial
- Concurrency measures in the era of temporal network epidemiology: a review.Journal of the Royal Society, Interface · 2021Review
- Risky sexual behaviour amidst predicament of acceptable sexually transmitted infection partner notification modalities: A cross-sectional survey amongst minibus taxi drivers in Gauteng Province, South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2020Article
- Mono-Causal and Multi-Causal Theories of Disease: How to Think Virally and Socially about the Aetiology of AIDS.The Journal of medical humanities · 2020Article
- Article
- The differential impacts of non-locally acquired infections and treatment interventions on heterosexual HIV transmission in Hong Kong.PloS one · 2020Article
- Article
- Sexual Concurrency and Contraceptive Use Among Young Adult Women.Demography · 2019Article
- Differential sexual network connectivity offers a parsimonious explanation for population-level variations in the prevalence of bacterial vaginosis: a data-driven, model-supported hypothesis.BMC women's health · 2019Article
- HIV prevalence correlated with circumcision prevalence and high-risk sexual behavior in India's states: an ecological study.F1000Research · 2019Article
- Couple serostatus patterns in sub-Saharan Africa illuminate the relative roles of transmission rates and sexual network characteristics in HIV epidemiology.Scientific reports · 2018Article
- Modelling the human immunodeficiency virus (HIV) epidemic: A review of the substance and role of models in South Africa.Southern African journal of HIV medicine · 2018Article
- It's the network, stupid: a population's sexual network connectivity determines its STI prevalence.F1000Research · 2018Article
- Strong association between higher-risk sex and HIV prevalence at the regional level: an ecological study of 27 sub-Saharan African countries.F1000Research · 2018Article
- Application of Core Processes for Understanding Multiple Concurrent Sexual Partnerships Among Adolescents in Uganda.Frontiers in public health · 2018Article
- Gender asymmetry in concurrent partnerships and HIV prevalence.Epidemics · 2017Article
- HIV Epidemic in Tanzania: The Possible Role of the Key Populations.AIDS research and treatment · 2017Review
- Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The notion that concurrent sexual partnerships are especially common in sub-Saharan Africa and explain the region's high HIV prevalence is accepted by many as conventional wisdom. In this paper, we evaluate the quantitative and qualitative evidence offered by the principal proponents of the concurrency hypothesis and analyze the mathematical model they use to establish the plausibility of the hypothesis.We find that research seeking to establish a statistical correlation between concurrency and HIV prevalence either finds no correlation or has important limitations. Furthermore, in order to simulate rapid spread of HIV, mathematical models require unrealistic assumptions about frequency of sexual contact, gender symmetry, levels of concurrency, and per-act transmission rates. Moreover, quantitative evidence cited by proponents of the concurrency hypothesis is unconvincing since they exclude Demographic and Health Surveys and other data showing that concurrency in Africa is low, make broad statements about non-African concurrency based on very few surveys, report data incorrectly, report data from studies that have no information about concurrency as though they supported the hypothesis, report incomparable data and cite unpublished or unavailable studies. Qualitative evidence offered by proponents of the hypothesis is irrelevant since, among other reasons, there is no comparison of Africa with other regions.Promoters of the concurrency hypothesis have failed to establish that concurrency is unusually prevalent in Africa or that the kinds of concurrent partnerships found in Africa produce more rapid spread of HIV than other forms of sexual behaviour. Policy makers should turn attention to drivers of African HIV epidemics that are policy sensitive and for which there is substantial epidemiological evidence.
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Registered trials
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.