Evidence map›Paper›PMID 42316319›Full record

ArticleBMC research notes2026

Ecological association between Grindr user characteristics and HIV prevalence in Malaysia: a cross-sectional study.

Hakimi Kassim, Kamarul Ismail, Md Enamul Huq, Hein Htet Aung, Ethan Trey Cardwell, Fabian Yuh Shiong Kong

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Article in BMC research notes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Hakimi KassimDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK. m.mohdkassim@imperial.ac.uk.
Kamarul IsmailDepartment of Geography and Environment, Faculty of Human Sciences, Sultan Idris University of Education, Perak, 35900, Malaysia.
Md Enamul HuqDepartment of Geography and Environment, Faculty of Human Sciences, Sultan Idris University of Education, Perak, 35900, Malaysia.
Hein Htet AungMelbourne School of Population and Global Health, The University of Melbourne, Victoria, 3053, Australia.
Ethan Trey CardwellMelbourne School of Population and Global Health, The University of Melbourne, Victoria, 3053, Australia.
Fabian Yuh Shiong KongMelbourne School of Population and Global Health, The University of Melbourne, Victoria, 3053, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMen who have sex with men in Malaysia face a high HIV burden, but demographic, behavioral, and digital health data remain limited by social constraints. This nationwide, cross-sectional ecological study utilized a grid-based geographic sampling method to systematically collect publicly accessible Grindr profiles across all Malaysian states and federal territories. Population-normalized Grind user rates, profile characteristics, and regional people living with HIV rates were analyzed using Spearman's rank-order correlation to evaluate whether geosocial networking platform data offer insights into regional HIV epidemiology.

resultsA significant positive correlation was observed between population-normalized Grindr user rates and PLHIV rates (r

Indexed as

HIV InfectionsHomosexuality, MaleAdultCross-Sectional StudiesDigital HealthHumansMalaysiaMalePrevalenceGeosocial networking applicationHIV epidemiologyMen who have sex with menSexual networkSpatial analysis

Identifiers

PMID42316319
PMCPMC13523420

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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.