Evidence map›Paper›PMID 29422452›Full record

ArticleJMIR public health and surveillance2018

Population Size Estimation of Gay and Bisexual Men and Other Men Who Have Sex With Men Using Social Media-Based Platforms.

Stefan Baral, Rachael M Turner, Carrie E Lyons, Sean Howell, Brian Honermann, Alex Garner, Robert Hess, Daouda Diouf, George Ayala, Patrick S Sullivan and 1 more

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  5. Integrating HIV services in an era of global change.Journal of the International AIDS Society · 2026
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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

11 authors at 4 institutions in 2 countries.

Stefan BaralDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-5482-2419
Rachael M TurnerDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-5291-7633
Carrie E LyonsDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, United States.ORCID 0000-0001-8127-0704
Sean HowellHornet Gay Social Network, San Francisco, CA, United States.ORCID 0000-0001-9703-8950
Brian HonermannPublic Policy Office, The Foundation for AIDS Research, Washington, DC, United States.ORCID 0000-0002-4907-0603
Alex GarnerHornet Gay Social Network, San Francisco, CA, United States.ORCID 0000-0003-2889-4600
Robert HessDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, United States.ORCID 0000-0001-9835-0559
Daouda DioufEnda-Santé, Dakar, Senegal.ORCID 0000-0001-5796-3164
George AyalaThe Global Forum for MSM and HIV, Oakland, CA, United States.ORCID 0000-0003-2255-7582
Patrick S SullivanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-7728-0587
Greg MillettPublic Policy Office, The Foundation for AIDS Research, Washington, DC, United States.ORCID 0000-0001-8682-8850
Johns Hopkins University · USAmerican Foundation for AIDS Research · USEmory University · USEnvironment and Development Action Third World · SN

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Training Program for Scientists Conducting Research to Reduce HIV Health DisparitR25MH067127 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emily A Arnold, Torsten Brian Neilands · 2003 to 2026
$5.4M
Minority Populations Prevention Researcher TrainingR25HD045810 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NEILANDS, TORSTEN BRIAN · 2003 to 2018
$4.3M
NIAID NIH HHS P30 AI094189NICHD NIH HHS R25 HD045810NIMH NIH HHS R25 MH067127
6 · The paper itself

Abstract

backgroundGay, bisexual, and other cisgender men who have sex with men (GBMSM) are disproportionately affected by the HIV pandemic. Traditionally, GBMSM have been deemed less relevant in HIV epidemics in low- and middle-income settings where HIV epidemics are more generalized. This is due (in part) to how important population size estimates regarding the number of individuals who identify as GBMSM are to informing the development and monitoring of HIV prevention, treatment, and care programs and coverage. However, pervasive stigma and criminalization of same-sex practices and relationships provide a challenging environment for population enumeration, and these factors have been associated with implausibly low or absent size estimates of GBMSM, thereby limiting knowledge about the dynamics of HIV transmission and the implementation of programs addressing GBMSM.

objectiveThis study leverages estimates of the number of members of a social app geared towards gay men (Hornet) and members of Facebook using self-reported relationship interests in men, men and women, and those with at least one reported same-sex interest. Results were categorized by country of residence to validate official size estimates of GBMSM in 13 countries across five continents.

methodsData were collected through the Hornet Gay Social Network and by using an a priori determined framework to estimate the numbers of Facebook members with interests associated with GBMSM in South Africa, Ghana, Nigeria, Senegal, Côte d'Ivoire, Mauritania, The Gambia, Lebanon, Thailand, Malaysia, Brazil, Ukraine, and the United States. These estimates were compared with the most recent Joint United Nations Programme on HIV/AIDS (UNAIDS) and national estimates across 143 countries.

resultsThe estimates that leveraged social media apps for the number of GBMSM across countries are consistently far higher than official UNAIDS estimates. Using Facebook, it is also feasible to assess the numbers of GBMSM aged 13-17 years, which demonstrate similar proportions to those of older men. There is greater consistency in Facebook estimates of GBMSM compared to UNAIDS-reported estimates across countries.

conclusionsThe ability to use social media for epidemiologic and HIV prevention, treatment, and care needs continues to improve. Here, a method leveraging different categories of same-sex interests on Facebook, combined with a specific gay-oriented app (Hornet), demonstrated significantly higher estimates than those officially reported. While there are biases in this approach, these data reinforce the need for multiple methods to be used to count the number of GBMSM (especially in more stigmatizing settings) to better inform mathematical models and the scale of HIV program coverage. Moreover, these estimates can inform programs for those aged 13-17 years; a group for which HIV incidence is the highest and HIV prevention program coverage, including the availability of pre-exposure prophylaxis (PrEP), is lowest. Taken together, these results highlight the potential for social media to provide comparable estimates of the number of GBMSM across a large range of countries, including some with no reported estimates.

Indexed as

AIDSestimatesHIVkey populationsmen who have sex with mensocial media

Identifiers

PMID29422452
PMCPMC5824103
OpenAlexW2786229646

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.