Evidence map›Paper›PMID 40204867›Full record

ArticleCommunications medicine2025

Assessing regional variations and sociodemographic barriers in the progress toward UNAIDS 95-95-95 targets in Zimbabwe.

M D Tuhin Chowdhury, Anna Bershteyn, Masabho Milali, Daniel T Citron, Sulani Nyimbili, Godfrey Musuka, Diego F Cuadros

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

M D Tuhin ChowdhuryDigital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA.
Anna BershteynDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Masabho MilaliDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Daniel T CitronDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Sulani NyimbiliDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Godfrey MusukaInternational Initiative for Impact Evaluation, Harare, Zimbabwe.ORCID http://orcid.org/0000-0001-9077-4429
Diego F CuadrosDigital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA. diego.cuadros@uc.edu.ORCID http://orcid.org/0000-0001-7060-4203

Funding

Can mental health services break the cycle perpetuating HIV hotspots in sub-Saharan Africa?R01MH124478 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BERSHTEYN, ANNA · 2021 to 2025
$3.2M
Rapid Tests for Recent Infection (RTRI) for Precision Public Health in Sub-Saharan Africa: Next-Generation Strategies Amid Changing HIV EpidemiologyR01AI174932 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Ronald Scott Braithwaite · 2023 to 2026
$3.0M
Division of Intramural Research, National Institute of Allergy and Infectious Diseases (Division of Intramural Research of the NIAID) 1R01AI174932Gates Foundation INV-007145NIAID NIH HHS R01 AI174932NIMH NIH HHS R01 MH124478U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) 5R01MH124478
6 · The paper itself

Abstract

backgroundThe HIV/AIDS epidemic remains critical in sub-Saharan Africa, with UNAIDS establishing "95-95-95" targets to optimize HIV care. Using the 2020 Zimbabwe Population-based HIV Impact Assessment (ZIMPHIA) geospatial data, this study aimed to identify patterns in these targets and determinants impacting the HIV care continuum in underserved Zimbabwean communities.

methodsAnalysis techniques, including Gaussian kernel interpolation, optimized hotspot, and multivariate geospatial k-means clustering, were utilized to establish spatial patterns and cluster regional HIV care continuum needs. Further, we investigated healthcare availability, access, and social determinants and scrutinized the association between socio-demographic and behavioral covariates with HIV care outcomes.

resultsDisparities in progress toward the "95-95-95" targets were noted across different regions, with each target demonstrating unique geographic patterns, resulting in four distinct clusters with specific HIV care needs. Key factors associated with gaps in achieving targets included younger age, male gender, employment, and minority or no religious affiliation.

conclusionsOur study uncovers significant spatial heterogeneity in the HIV care continuum in Zimbabwe, with unique regional patterns in "95-95-95" targets. The spatial analysis of the UNAIDS targets presented here could prove instrumental in designing effective control strategies by identifying vulnerable communities that are falling short of these targets and require intensified efforts. We provide insights for designing region-specific interventions and enhancing community-level factors, emphasizing the need to address regional gaps and improve HIV care outcomes in vulnerable communities that lag behind.

Identifiers

PMID40204867
PMCPMC11982368

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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.