ArticleSexually transmitted infections2019
Estimating the size of key populations for HIV in Singapore using the network scale-up method.
Article in Sexually transmitted infections, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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
16 citing papers in PubMed.
- A decade of change: trends in drug and alcohol use in Iran (2010-2019).BMC public health · 2026Article
- Population Size Estimation of Men Who Have Sex With Men in Low- and Middle-Income Countries: Google Trends Analysis.JMIR public health and surveillance · 2025Article
- Size estimation of key populations and 'bridge populations' based on the network scale-up method in Ukraine.BMC public health · 2024Article
- Using the network scale-up method to characterise kidney trafficking in Kalai Upazila, Bangladesh.BMJ global health · 2023Article
- Application of the network scale-up method to estimate the sizes of key populations for HIV in Singapore using online surveys.Journal of the International AIDS Society · 2023Article
- Population size estimation of female sex workers using network scale-up method in Kermanshah city.BMC public health · 2023Article
- A Correlated Network Scale-up Model: Finding the Connection Between Subpopulations.Journal of the American Statistical Association · 2023Article
- Measure of Personal Network Size Using the Known Population Method: A Methodological Guide.American journal of public health · 2022Article
- Article
- The Impact of the Coronavirus Disease (COVID-19) on the Health and Social Needs of Sex Workers in Singapore.Archives of sexual behavior · 2021Article
- Delineating patterns of sexualized substance use and its association with sexual and mental health outcomes among young gay, bisexual and other men who have sex with men in Singapore: a latent class analysis.BMC public health · 2021Article
- Using Social Networks to Estimate the Number of COVID-19 Cases: The Incident (Hidden COVID-19 Cases Network Estimation) Study Protocol.International journal of environmental research and public health · 2021Article
- What is required for achieving hepatitis C virus elimination in Singapore? A modeling study.Journal of gastroenterology and hepatology · 2021Article
- Social capital and chemsex initiation in young gay, bisexual, and other men who have sex with men: the pink carpet Y cohort study.Substance abuse treatment, prevention, and policy · 2021Article
- Thirty Years of The Network Scale-up Method.Journal of the American Statistical Association · 2021Article
- A Review of Prevalence Estimation Methods for Human Trafficking Populations.Public health reports (Washington, D.C. : 1974)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo develop a localised instrument and Bayesian statistical method to generate size estimates-adjusted for transmission error and barrier effects-of at-risk populations in Singapore.
methodsWe conducted indepth interviews and focus group to guide the development of the survey questionnaire. The questionnaire was administered between July and August 2017 in Singapore. Using the network scale-up method (NSUM), we developed a Bayesian hierarchical model to estimate the number of individuals in four hidden populations at risk of HIV. The method accounted for both transmission error and barrier effects using social acceptance measures and demographics.
resultsThe adjusted size estimate of the population of male clients of female sex workers was 72 000 (95% CI 51 000 to 100 000), of female sex workers 4200 (95% CI 1600 to 10 000), of men who have sex with men 210 000 (95% CI 140 000 to 300 000) and of intravenous drug users 11 000 (95% CI 6500 to 17 000).
conclusionsThe NSUM with adjustment for attitudes and demographics allows national-level estimates of multiple priority populations to be determined from simple surveys of the general population, even in relatively conservative societies.
Indexed as
Identifiers
What OpenQuestion holds
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.