Evidence map›Paper›PMID 26847711›Full record

ArticleBMC public health2016

Spatial analysis of HIV infection and associated individual characteristics in Burundi: indications for effective prevention.

Emmanuel Barankanira, Nicolas Molinari, Théodore Niyongabo, Christian Laurent

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

25 citing papers in PubMed, 41 citations in OpenAlex.

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  13. Spatial Analysis of HIV Infection and Associated Risk Factors in Botswana.International journal of environmental research and public health · 2021
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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

4 authors at 4 institutions in 2 countries.

Emmanuel BarankaniraDépartement des Sciences Naturelles, Ecole Normale Supérieure, Bujumbura, Burundi. baremma2002@yahoo.fr.
Nicolas MolinariIMAG, UMR 519 / Centre Hospitalier Régional Universitaire de Montpellier / Université de Montpellier, Montpellier, France.
Théodore NiyongaboCentre Hospitalier Universitaire de Kamenge, Bujumbura, Burundi.
Christian LaurentTransVIHMI, IRD UMI 233 / INSERM U 1175 / Université de Montpellier, Montpellier, France.
Centre Hospitalier Universitaire de Montpellier · FRÉcole Normale Supérieure · BIInstitut de Recherche pour le Développement · FRRepublic of Burundi · BI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdequate resource allocation is critical in the battle against HIV/AIDS, especially in Africa. The determination of the location and nature of HIV services to implement must comply with the geographic, social and behavioral characteristics of patients. We therefore investigated the spatial heterogeneity of HIV prevalence in Burundi and then assessed the association of social and behavioral characteristics with HIV infection accounting for the spatial heterogeneity.

methodsWe used data from the 2010 Demographic and Health Survey. We analyzed these data with a geostatistical approach (which takes into account spatial autocorrelation) by i) interpolating HIV data using the kernel density estimation, ii) identifying the spatial clusters with high and low HIV prevalence using the Kulldorff spatial scan statistics, and then iii) performing a multivariate spatial logistic regression.

resultsOverall HIV prevalence was 1.4 %. The interpolated data showed the great spatial heterogeneity of HIV prevalence (from 0 to 10 %), independently of administrative boundaries. A cluster with high HIV prevalence was found in the capital city and adjacent areas (3.9 %; relative risk 3.7, p < 0.001) whereas a cluster with low prevalence straddled two southern provinces (0 %; p = 0.02). By multivariate spatial analysis, HIV infection was significantly associated with the female sex (posterior odds ratio [POR] 1.36, 95 % credible interval [CrI] 1.13-1.64), an older age (POR 1.97, 95 % CrI 1.26-3.08), the level of education (POR 1.50, 95 % CrI 1.22-1.84), the marital status (POR 1.86, 95 % CrI 1.23-2.80), a higher wealth index (POR 2.11, 95 % CrI 1.77-2.51), the sexual activity (POR 1.76, 95 % CrI 1.04-2.96), and a history of sexually transmitted infection (POR 2.03, 95 % CrI 1.56-2.64).

conclusionsOur study, which shows where and towards which populations HIV resources should be allocated, could help national health policy makers develop an effective HIV intervention in Burundi. Our findings support the strategy of the Joint United Nations Programme on HIV/AIDS (UNAIDS) for country-specific, in-depth analyses of HIV epidemics to tailor national prevention responses.

Indexed as

Spatial AnalysisAdultAge FactorsBurundiFemaleHealth SurveysHIV InfectionsHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPrevalenceSex FactorsSexual BehaviorSexually Transmitted Diseases

Identifiers

PMID26847711
PMCPMC4743168
OpenAlexW2253288643

What OpenQuestion holds

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LicenceCC BY
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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.