Evidence map›Paper›PMID 42304332›Full record

ArticleBMC public health2026

Exploring spatial uncertainty in HIV risk locations: individual characteristics and geographic reporting accuracy.

Sofia Kaloper, Alan T Murray, Sean Reid, Pamina Gorbach, Susan Cassels

Abstract read
In one paragraph

Article in BMC public health, 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
–field-weighted citation impact
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

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

5 authors.

Sofia KaloperDepartment of Geography, University of California, Santa Barbara, Santa Barbara, CA, USA. sofiakaloper@ucsb.edu.
Alan T MurrayDepartment of Geography, University of California, Santa Barbara, Santa Barbara, CA, USA.
Sean ReidDepartment of Geography, University of California, Santa Barbara, Santa Barbara, CA, USA.
Pamina GorbachDepartment of Epidemiology, University of California, Los Angeles, Los Angeles, CA, USA.
Susan CasselsDepartment of Geography, University of California, Santa Barbara, Santa Barbara, CA, USA.

Funding

MSM and Substances Cohort at UCLA Linking Infections Noting Effects (MASCULINE) U01DA036267 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GORBACH, PAMINA MAE, SHOPTAW, STEVEN J · 2013 to 2024
$20.5M
Race & Place: The Impacts of Racial Inequality on Substance Use and HIV Outcomes in Los AngelesR01DA061345 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Pamina Mae Gorbach, Marjan Javanbakht · 2024 to 2026
$2.0M
Making space for HIV prevention: substance use among Latinx MSM in LA hotspotsR21DA049643 · NIDA · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI CASSELS, SUSAN LYNN · 2020 to 2021
$550k
mSTUDY U01DA036267NIDA NIH HHS R01 DA061345NIDA NIH HHS R21 DA049643NIDA NIH HHS U01 DA036267NIH HHS R21DA049643NIH/NIDA DA061345-01
6 · The paper itself

Abstract

This paper investigates the determinants of spatial uncertainty associated with respondent reporting of potential HIV risk activity, lifestyle, and healthcare locations in Los Angeles. We examine which geographic and socio-demographic variables are associated with the accuracy of location reporting. Significant variables associated with activity space reporting accuracy related to HIV risk and HIV prevention are identified. The study is based on gay, bisexual, and other sexual minority men (SMM) enrolled in the UCLA mSTUDY, collecting demographic characteristics and locations of recent activities. An exploratory spatial data analysis is carried out. Statistical modeling with logistic regression was used to identify sources of uncertainty and their influence on reporting accuracy. This paper concludes that demographic characteristics, activity types, and geographic location are significant predictors of reported geographic accuracy. The research also found regional variation in accuracy, with locations within regions reported with higher accuracy than those outside them. Future work aims to refine statistical models of location accuracy and establish confidence intervals to mitigate uncertainty, which is needed to improve the effectiveness of interventions aiming to reduce HIV incidence disparities.

Indexed as

HIV InfectionsSexual and Gender MinoritiesAdultGeographic Information SystemsHumansLos AngelesMaleSpatial AnalysisUncertaintyActivity SpacesGeographic Information Systems (GIS)HIV Risk HotspotsLocation-based Survey MethodsSpatial Uncertainty

Identifiers

PMID42304332
PMCPMC13508376

What OpenQuestion holds

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Registered trials

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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.