ArticleStatistics and its interface2015
Estimating the Sizes of Populations At Risk of HIV Infection From Multiple Data Sources Using a Bayesian Hierarchical Model.
Article in Statistics and its interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed.
- On the estimation of population size-A comparison of capture-recapture and multiplier-benchmark methods.Statistical methods in medical research · 2024Article
- Estimation of the prevalence of opioid misuse in New York State counties, 2007-2018: a bayesian spatiotemporal abundance model approach.American journal of epidemiology · 2024Article
- An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2023Article
- A BAYESIAN HIERARCHICAL MODEL FOR COMBINING MULTIPLE DATA SOURCES IN POPULATION SIZE ESTIMATION.The annals of applied statistics · 2022Article
- An indirect method to monitor the fraction of people ever infected with COVID-19: An application to the United States.PloS one · 2021Article
- Estimating the Population Size of Female Sex Workers in Zimbabwe: Comparison of Estimates Obtained Using Different Methods in Twenty Sites and Development of a National-Level Estimate.Journal of acquired immune deficiency syndromes (1999) · 2020Article
- Estimating Hidden Population Sizes with Venue-based Sampling: Extensions of the Generalized Network Scale-up Estimator.Epidemiology (Cambridge, Mass.) · 2019Article
- Bayesian Estimation of MSM Population Size in Côte d'Ivoire.Statistics and public policy (Philadelphia, Pa.) · 2019Article
- Estimating Sizes of Key Populations at the National Level: Considerations for Study Design and Analysis.Epidemiology (Cambridge, Mass.) · 2018Article
- Hidden population size estimation from respondent-driven sampling: a network approach.Journal of the American Statistical Association · 2018Article
- Joint spatial modelling of disease risk using multiple sources: an application on HIV prevalence from antenatal sentinel and demographic and health surveys in Namibia.Global health research and policy · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
In most countries in the world outside of sub-Saharan Africa, HIV is largely concentrated in sub-populations whose behavior puts them at higher risk of contracting and transmitting HIV, such as people who inject drugs, sex workers and men who have sex with men. Estimating the size of these sub-populations is important for assessing overall HIV prevalence and designing effective interventions. We present a Bayesian hierarchical model for estimating the sizes of local and national HIV key affected populations. The model incorporates multiple commonly used data sources including mapping data, surveys, interventions, capture-recapture data, estimates or guesstimates from organizations, and expert opinion. The proposed model is used to estimate the numbers of people who inject drugs in Bangladesh.
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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.