Observational studyAIDS (London, England)2020
Genetic clustering analysis for HIV infection among MSM in Nigeria: implications for intervention.
Observational study in AIDS (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Pooled it
- From giant components to communities: community-level insights for prioritizing interventions within large clusters of HIV-1 transmission networks.Infectious Disease Modelling · 2027Article
- HIV phylogenetic clusters point to unmet hiv prevention, testing and treatment needs among men who have sex with men in kenya.BMC infectious diseases · 2024Article
- RFID Data Analysis and Evaluation Based on Big Data and Data Clustering.Computational intelligence and neuroscience · 2022Article
- Predictors of first-line antiretroviral therapy failure among adults and adolescents living with HIV/AIDS in a large prevention and treatment program in Nigeria.AIDS research and therapy · 2020Article
- From general to specific: moving past the general population in the HIV response across sub-Saharan Africa.Journal of the International AIDS Society · 2020Article
Corrections and comments
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Authors and funding
16 authors at 6 institutions in 3 countries.
Funding
Abstract
backgroundThe HIV epidemic continues to grow among MSM in countries across sub-Saharan Africa including Nigeria. To inform prevention efforts, we used a phylogenetic cluster method to characterize HIV genetic clusters and factors associated with cluster formation among MSM living with HIV in Nigeria.
methodsWe analyzed HIV-1 pol sequences from 417 MSM living with HIV enrolled in the TRUST/RV368 cohort between 2013 and 2017 in Abuja and Lagos, Nigeria. A genetically linked cluster was defined among participants whose sequences had pairwise genetic distance of 1.5% or less. Binary and multinomial logistic regressions were used to estimate adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for factors associated with HIV genetic cluster membership and size.
resultsAmong 417 MSM living with HIV, 153 (36.7%) were genetically linked. Participants with higher viral load (AOR = 1.72 95% CI: 1.04-2.86), no female partners (AOR = 3.66; 95% CI: 1.97-6.08), and self-identified as male sex (compared with self-identified as bigender) (AOR = 3.42; 95% CI: 1.08-10.78) had higher odds of being in a genetic cluster. Compared with unlinked participants, MSM who had high school education (AOR = 23.84; 95% CI: 2.66-213.49), were employed (AOR = 3.41; 95% CI: 1.89-10.70), had bacterial sexually transmitted infections (AOR = 3.98; 95% CI: 0.89-17.22) and were not taking antiretroviral therapy (AOR = 6.61; 95% CI: 2.25-19.37) had higher odds of being in a large cluster (size > 4).
conclusionComprehensive HIV prevention packages should include behavioral and biological components, including early diagnosis and treatment of both HIV and bacterial sexually transmitted infections to optimally reduce the risk of HIV transmission and acquisition.
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