ArticleJournal of the International AIDS Society2020
Identifying groups of people with similar sociobehavioural characteristics in Malawi to inform HIV interventions: a latent class analysis.
Article in Journal of the International AIDS Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Social, Behavioral, and Cultural factors of HIV in Malawi: Semi-Automated Systematic Review.Journal of medical Internet research · 2020Pooled it
- Use of unsupervised machine learning to characterise HIV predictors in sub-Saharan Africa.BMC infectious diseases · 2023Article
- The Temporal and Spatial Epidemiology Employed in the Elimination of the HIV Epidemic in the Largest Capital of the Brazilian Rainforest.Tropical medicine and infectious disease · 2022Article
- Screening Adults for HIV Testing in the Outpatient Department: An Assessment of Tool Performance in Malawi.AIDS and behavior · 2022Article
- Article
- Malaria risk factors in northern Namibia: The importance of occupation, age and mobility in characterizing high-risk populations.PloS one · 2021Article
- Identifying groups of people with similar sociobehavioural characteristics in Malawi to inform HIV interventions: a latent class analysis.Journal of the International AIDS Society · 2020Article
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Authors and funding
7 authors at 2 institutions in 2 countries.
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Abstract
introductionWithin many sub-Saharan African countries including Malawi, HIV prevalence varies widely between regions. This variability may be related to the distribution of population groups with specific sociobehavioural characteristics that influence the transmission of HIV and the uptake of prevention. In this study, we intended to identify groups of people in Malawi with similar risk profiles.
methodsWe used data from the Demographic and Health Survey in Malawi (2015 to 2016), and stratified the analysis by sex. We considered demographic, socio-behavioural and HIV-related variables. Using Latent Class Analysis (LCA), we identified groups of people sharing common sociobehavioural characteristics. The optimal number of classes (groups) was selected based on the Bayesian information criterion. We compared the proportions of individuals belonging to the different groups across the three regions and 28 districts of Malawi.
resultsWe found nine groups of women and six groups of men. Most women in the groups with highest risk of being HIV positive were living in female-headed households and were formerly married or in a union. Among men, older men had the highest risk of being HIV positive, followed by young (20 to 25) single men. Generally, low HIV testing uptake correlated with lower risk of having HIV. However, rural adolescent girls had a low probability of being tested (48.7%) despite a relatively high HIV prevalence. Urban districts and the Southern region had a higher percentage of high-prevalence and less tested groups of individuals than other areas.
conclusionsLCA is an efficient method to find groups of people sharing common HIV risk profiles, identify particularly vulnerable sub-populations, and plan targeted interventions focusing on these groups. Tailored support, prevention and HIV testing programmes should focus particularly on female household heads, adolescent girls living in rural areas, older married men and young men who have never been married.
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