Evidence map›Paper›PMID 35819961›Full record

ArticlePloS one2022

Spatial distribution and determinants of HIV prevalence among adults in urban Ethiopia: Findings from the Ethiopia Population-based HIV Impact Assessment Survey (2017-2018).

Terefe Gelibo, Sileshi Lulseged, Frehywot Eshetu, Saro Abdella, Zenebe Melaku, Solape Ajiboye, Minilik Demissie, Chelsea Solmo, Jelaludin Ahmed, Yimam Getaneh and 3 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. HIV and AIDS in the state of Paraná, Brazil, 2007-2022: trends and spatiotemporal distribution.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
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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

13 authors.

Terefe GeliboICAP in Ethiopia, Mailman School of Public Health, Columbia University, Addis Ababa, Ethiopia.ORCID 0000-0001-7591-9669
Sileshi LulsegedICAP in Ethiopia, Mailman School of Public Health, Columbia University, Addis Ababa, Ethiopia.ORCID 0000-0001-6801-7034
Frehywot EshetuDivision of Global HIV & TB (DGHT), United States Centers for Disease Control and Prevention (CDC), Addis Ababa, Ethiopia.
Saro AbdellaTB/HIV Directorate, Ethiopia Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Zenebe MelakuICAP in Ethiopia, Mailman School of Public Health, Columbia University, Addis Ababa, Ethiopia.
Solape AjiboyeDivision of Global HIV & TB (DGHT), United States Centers for Disease Control and Prevention (CDC), Atlanta, GA, United States of America.
Minilik DemissieTB/HIV Directorate, Ethiopia Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Chelsea SolmoICAP at Columbia University, New York, New York, United States of America.
Jelaludin AhmedDivision of Global HIV & TB (DGHT), United States Centers for Disease Control and Prevention (CDC), Addis Ababa, Ethiopia.ORCID 0000-0001-7397-7558
Yimam GetanehTB/HIV Directorate, Ethiopia Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Susan C Kaydos-DanielsDivision of Global HIV & TB (DGHT), United States Centers for Disease Control and Prevention (CDC), Addis Ababa, Ethiopia.
Ebba AbateTB/HIV Directorate, Ethiopia Public Health Institute (EPHI), Addis Ababa, Ethiopia.
EPHIA Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The design and evaluation of national HIV programs often rely on aggregated national data, which may obscure localized HIV epidemics. In Ethiopia, even though the national adult HIV prevalence has decreased, little information is available about local areas and subpopulations. To inform HIV prevention efforts for specific populations, we identified geographic locations and drivers of HIV transmission. We used data from adults aged 15-64 years who participated in the Ethiopian Population-based HIV Impact Assessment survey (October 2017-April 2018). Location-related information for the survey clusters was obtained from the 2007 Ethiopia population census. Spatial autocorrelation of HIV prevalence data were analyzed via a Global Moran's I test. Geographically weighted regression analysis was used to show the relationship of covariates. The finding indicated that uncircumcised men in certain hotspot towns and divorced or widowed individuals in hotspot woredas/towns might have contributed to the average increase in HIV prevalence in the hotspot areas. Hotspot analysis findings indicated that, localized, context-specific intervention efforts tailored to at-risk populations, such as divorced or widowed women or uncircumcised men, could decrease HIV transmission and prevalence in urban Ethiopia.

Indexed as

HIV InfectionsAdultEthiopiaFemaleHumansMalePrevalenceRisk FactorsSpatial Regression

Identifiers

PMID35819961
PMCPMC9491827

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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.