Evidence map›Paper›PMID 26589427›Full record

ArticleBMJ open2015

Social determinants of HIV infection, hotspot areas and subpopulation groups in Ethiopia: evidence from the National Demographic and Health Survey in 2011.

Yihunie Lakew, Susan Benedict, Demewoz Haile

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 6 pooled it
1.6field-weighted citation impact, top 17% of its field
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

39 citing papers in PubMed, 6 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Wealth, income and HIV in sub-Saharan Africa: a systematic review.Journal of the International AIDS Society · 2025
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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

3 authors at 3 institutions in 2 countries.

Yihunie LakewEthiopian Public Health Association, Addis Ababa, Ethiopia.
Susan BenedictThe University of Texas Health Science Center at Houston, School of Nursing, Houston, Texas, USA.
Demewoz HaileDepartment of Reproductive Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Amhara Region, Ethiopia.
Bahir Dar University · ETEthiopian Public Health Association · ETThe University of Texas Health Science Center at Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study identifies social determinants of HIV infection, hotspot areas and subpopulation groups in Ethiopia.

designThe study used data from the 2011 Ethiopian Demographic and Health Survey (EDHS). Sample blood tests from the finger pricks collected on filter paper cards were labelled with a barcode unique to each respondent. Spatial scan statistics and geographic information system tools were used to map hotspot areas of HIV prevalence. Bivariate and multivariable logistic regression models were used to identify social determinants of HIV infection. POPULATION: A total of 30,625 adults (16,515 women and 14,110 men) were included from 11 administrative states of Ethiopia.

main outcome measuresLaboratory-confirmed HIV serostatus is the main outcome variable.

resultsHIV prevalence reached 10-21% in the central, eastern and western geographic clusters of Ethiopia. Multivariable analysis showed that individuals who were in the middle, richer and richest wealth quintiles had increased odds of having HIV over those in the poorest quintile. Adults who had primary, secondary and higher educational levels had higher odds of being HIV positive than non-educated individuals. The odds of having HIV were higher among adults who had multiple lifetime sexual partners than those with a single partner. An increasing odds of HIV infection were observed among adults in the age groups of 25-29, 30-34, 35-39 and 40-45 years compared with adults in the age group of 45-49 years. Merchants had higher odds of being HIV positive than those who were not employed. The odds of having HIV were higher among urban residents and females than among rural residents and males, respectively.

conclusionsThis study found statistically significant HIV concentrations in administrative zones of central, eastern and western Ethiopia. Geospatial monitoring and targeting of prevention strategies for specific population groups is recommended.

Indexed as

AdolescentAdultEducational StatusEthiopiaFemaleHIV InfectionsHumansLogistic ModelsMaleMiddle AgedPrevalenceRisk FactorsRural PopulationSocioeconomic FactorsUrban PopulationYoung Adult

Identifiers

PMID26589427
PMCPMC4663400
OpenAlexW2178440867

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.