Spatial Distribution of HIV Prevalence among Young People in Mozambique.


Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
31 01 2020
Historique:
received: 23 12 2019
revised: 14 01 2020
accepted: 27 01 2020
entrez: 7 2 2020
pubmed: 7 2 2020
medline: 18 9 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 32023855
pii: ijerph17030885
doi: 10.3390/ijerph17030885
pmc: PMC7037233
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Rachid Muleia (R)

Interuniversity Institute for Statistics and Statistical Bioinformatics, Hasselt University, 3590 Diepenbeek, Belgium.
Department of Mathematics and Informatics, Faculty of Sciences, Universidade Eduardo Mondlane, 254 Maputo, Mozambique.

Makini Boothe (M)

Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.

Osvaldo Loquiha (O)

Department of Mathematics and Informatics, Faculty of Sciences, Universidade Eduardo Mondlane, 254 Maputo, Mozambique.

Marc Aerts (M)

Interuniversity Institute for Statistics and Statistical Bioinformatics, Hasselt University, 3590 Diepenbeek, Belgium.

Christel Faes (C)

Interuniversity Institute for Statistics and Statistical Bioinformatics, Hasselt University, 3590 Diepenbeek, Belgium.

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Classifications MeSH