Evidence map›Paper›PMID 32023855›Full record

ArticleInternational journal of environmental research and public health2020

Spatial Distribution of HIV Prevalence among Young People in Mozambique.

Rachid Muleia, Makini Boothe, Osvaldo Loquiha, Marc Aerts, Christel Faes

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

5 authors.

Rachid MuleiaInteruniversity Institute for Statistics and Statistical Bioinformatics, Hasselt University, 3590 Diepenbeek, Belgium.ORCID 0000-0001-8721-085X
Makini BootheDepartment of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0002-5362-5106
Osvaldo LoquihaDepartment of Mathematics and Informatics, Faculty of Sciences, Universidade Eduardo Mondlane, 254 Maputo, Mozambique.
Marc AertsInteruniversity Institute for Statistics and Statistical Bioinformatics, Hasselt University, 3590 Diepenbeek, Belgium.
Christel FaesInteruniversity Institute for Statistics and Statistical Bioinformatics, Hasselt University, 3590 Diepenbeek, Belgium.ORCID 0000-0002-1878-9869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mozambique has a high burden of HIV and is currently ranked sixth worldwide for adult prevalence. In Mozambique, HIV prevalence is not uniformly distributed geographically and throughout the population. We investigated the spatial distribution of HIV infection among adolescents and young people in Mozambique using the 2009 AIDS Indicator Survey (AIS). Generalized geoadditive modeling, combining kriging and additive modeling, was used to study the geographical variability of HIV risk among young people. The nonlinear spatial effect was assessed through radial basis splines. The estimation process was done using two-stage iterative penalized quasi-likelihood within the framework of a mixed-effects model. Our estimation procedure is an extension of the approach by Vandendijck et al., estimating the range (spatial decay) parameter in a binary context. The results revealed the presence of spatial patterns of HIV infection. After controlling for important covariates, the results showed a greater burden of HIV/AIDS in the central and northern regions of the country. Several socio-demographic, biological, and behavioral factors were found to be significantly associated with HIV infection among young people. The findings are important, as they can help health officials and policy makers to design targeted interventions for responding to the HIV epidemic.

Indexed as

Acquired Immunodeficiency SyndromeEpidemicsHIV InfectionsAdolescentFemaleHumansMaleMozambiquePrevalenceYoung Adultgeneralized geoadditive modelHIV/AIDSkriging mixed modelMozambique

Identifiers

PMID32023855
PMCPMC7037233

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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.