Evidence map›Paper›PMID 37163012›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Geospatial Patterns of Progress towards UNAIDS "95-95-95" Targets and Community Vulnerability in Zambia.

Diego F Cuadros, Tuhin Chowdhury, Masabho Milali, Daniel Citron, Sulani Nyimbili, Natalie Vlahakis, Theodora Savory, Lloyd Mulenga, Suilanji Sivile, Khozya Zyambo and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Diego F CuadrosDigital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA.
Tuhin ChowdhuryDigital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA.
Masabho MilaliDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Daniel CitronDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Sulani NyimbiliCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Natalie VlahakisCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Theodora SavoryCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Lloyd MulengaNational HIV Program, Ministry of Health, Lusaka, Zambia.
Suilanji SivileNational HIV Program, Ministry of Health, Lusaka, Zambia.
Khozya ZyamboNational HIV Program, Ministry of Health, Lusaka, Zambia.
Anna BershteynDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Centre for Infectious Disease Research in Zambia · ZMMinistry of Health · ZMNew York University · USUniversity of Cincinnati · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In sub-Saharan Africa, HIV/AIDS remains a leading cause of death. The UNAIDS established the "95-95-95" targets to improve HIV care continuum outcomes. Using geospatial data from the Zambia Population-based HIV Impact Assessment (ZAMPHIA), this study aims to investigate geospatial patterns in the "95-95-95" indicators and individual-level determinants that impede HIV care continuum in vulnerable communities, providing insights into the factors associated with gaps. This study used data from the 2016 ZAMPHIA to investigate the geospatial distribution and individual-level determinants of engagement across the HIV care continuum in Zambia. Gaussian kernel interpolation and optimized hotspot analysis were used to identify geospatial patterns in the HIV care continuum, while geospatial k-means clustering was used to partition areas into clusters. The study also assessed healthcare availability, access, and social determinants of healthcare utilization. Multiple logistic regression models were used to examine the association between selected sociodemographic and behavioral covariates and the three main outcomes of study. Varied progress towards the "95-95-95" targets were observed in different regions of Zambia. Each "95" displayed a unique geographic pattern, independent of HIV prevalence, resulting in four distinct geographic clusters. Factors associated with gaps in the "95s" include younger age, male sex, and low wealth, with younger individuals having higher odds of not being on ART and having detectable viral loads. Our study revealed significant spatial heterogeneity in the HIV care continuum in Zambia, with different regions exhibiting unique geographic patterns and levels of performance in the "95-95-95" targets, highlighting the need for geospatial tailored interventions to address the specific needs of different subnational regions. These findings underscore the importance of addressing differential regional gaps in HIV diagnosis, enhancing community-level factors, and developing innovative strategies to improve local HIV care continuum outcomes.

Identifiers

PMID37163012
PMCPMC10168516
OpenAlexW4367059329

What OpenQuestion holds

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LicenceCC BY-ND
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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.