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Does neighborhood matter? An analysis of HIV prevalence in Sub-Saharan African countries

Bibliographic Data

ID5958243
AuthorsA M Parroco (0000-0003-3213-7805, University of Palermo), Micaela Arcaio (0000-0001-6149-7784, University of Palermo), Daria Mendola (0000-0001-5723-7859, University of Palermo, corresponding author)
Year2024
Volume69
Issue3
Pages149-162
Publication date2024-07-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueBiodemography and Social Biology (JOURNAL)
Journal identifiersISSN: 1948-5565 • E-ISSN: 1948-5573
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/19485565.2024.2384995
PMID39072483
OpenAlexW4401090409
LanguageEN
Citations received1
References cited19

Over two-thirds of the population living with HIV were concentrated in Eastern, Southern, Western, and Central Africa in 2021. This paper employs data from the Demographic and Health Survey to assess the relationship between HIV prevalence and its socio-economic and demographic drivers at the neighborhood (macro-cluster) level. Additionally, the study examines the existence of differences in such relationships among countries. The results of the fractional logistic regression models highlight that highly educated neighborhoods are less likely to be affected by HIV. A greater average number of children, potentially due to programs that promote access to preventive antenatal care and prevention, is associated with a lower likelihood of residents living with HIV. Notably, HIV testing coverage is prevalent in neighborhoods with a high prevalence of HIV. It is also evident that there are notable differences between countries, which demonstrate national context plays a crucial role in the association between education, number of children, testing coverage, and HIV prevalences

Developing country · Economic growth · Environmental health · Geography · Logistic regression · Population · Public health · Sociology · Adolescent Sexual and Reproductive Health · Demography · HIV/AIDS Impact and Responses · HIV/AIDS Research and Interventions · Medicine · Immunology

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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