Clusters of sub-Saharan African countries based on sociobehavioural characteristics and associated HIV incidence

Merzouki, Fatma Aziza; Estill, Janne Anton Markus; Orel, Erol; Tal, Kali; Keiser, Olivia

doi:10.7717/peerj.10660

Scientific article

Open access

English

Clusters of sub-Saharan African countries based on sociobehavioural characteristics and associated HIV incidence

ContributorsMerzouki, Fatma Aziza; Estill, Janne Anton Markus; Orel, Erol; Tal, Kali; Keiser, Olivia

Published inPeerJ, vol. 9, e10660

Publication date2021

Abstract

HIV incidence varies widely between sub-Saharan African (SSA) countries. This variation coincides with a substantial sociobehavioural heterogeneity, which complicates the design of effective interventions. In this study, we investigated how sociobehavioural heterogeneity in sub-Saharan Africa could account for the variance of HIV incidence between countries.

Keywords

Dimensionality reduction
HIV incidence
Hierarchical clustering
Principal component analysis
Sociobehavioural characteristics
Unsupervised machine learning

Affiliation

Faculté de médecine / Section de médecine clinique / Département de santé et médecine communautaires / Institut de santé globale

Research group

Maladies infectieuses et modèles mathématiques (988)

Citation (ISO format)

MERZOUKI, Fatma Aziza et al. Clusters of sub-Saharan African countries based on sociobehavioural characteristics and associated HIV incidence. In: PeerJ, 2021, vol. 9, p. e10660. doi: 10.7717/peerj.10660

Article (Published version)

CC BY

Identifiers

PID : unige:150574
DOI : 10.7717/peerj.10660
PMID : 33520455

Commercial URLhttps://peerj.com/articles/10660/

Datasets

https://gitlab.com/AzizaM/dhs_ssa_countries_clustering

ISSN of the journal2167-8359

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Clusters of sub-Saharan African countries based on sociobehavioural characteristics and associated HIV incidence

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