ArticleEBioMedicine2019
Detection of HIV transmission hotspots in British Columbia, Canada: A novel framework for the prioritization and allocation of treatment and prevention resources.
Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Timely or detailed? The impact of information disclosure on citizen co-production.Frontiers in public health · 2026Article
- Article
- 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
- Phylogenetic identification of influenza virus candidates for seasonal vaccines.Science advances · 2023Article
- Using molecular network analysis to understand current HIV-1 transmission characteristics in an inland area of Yunnan, China.Epidemiology and infection · 2023Article
- Impact of SARS-CoV-2 lockdown on expansion of HIV transmission clusters among key populations: A retrospective phylogenetic analysis.Lancet regional health. Americas · 2022Article
- Phylogenetic prioritization of HIV-1 transmission clusters with viral lineage-level diversification rates.Evolution, medicine, and public health · 2022Article
- HIV Care Prioritization Using Phylogenetic Branch Length.Journal of acquired immune deficiency syndromes (1999) · 2021Article
- Phylogenetic Clustering among Asylum Seekers with New HIV-1 Diagnoses in Montreal, QC, Canada.Viruses · 2021Article
- Concordance of HIV transmission risk factors elucidated using viral diversification rate and phylogenetic clustering.Evolution, medicine, and public health · 2021Article
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8 authors.
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Abstract
backgroundIdentifying populations at high risk of HIV transmission is critical for prioritizing treatment and prevention resources and achieving the UNAIDS 90-90-90 Targets.
methodsHIV transmission rates can be estimated from phylogenetic trees as viral lineage-level diversification rates. To identify HIV-1 transmission foci in British Columbia, Canada, we inferred diversification rates from phylogenetic trees of 36 271 HIV-1 sequences from 9630 anonymized individuals. Diversification rates were combined with sociodemographic and clinical data, then aggregated by patients' area of residence to predict the distribution of new HIV cases between 2008 and 2018. The predictive power of the model was compared with a phylogenetically uninformed model.
findingsAggregated diversification rate measures were predictive of new HIV cases in the subsequent year after adjusting for prevalent and incident cases in the previous year. For every one-unit increase in the mean of the top five diversification rates, the number of new HIV cases increased by on average 1·38-fold (95% CI, 1·28-1·49). In a blind prediction of 2018 cases, diversification rate improved the model's specificity by 12%, accuracy by 9%, top 20 agreement by 100%, and correlation of predicted and observed values by 162% relative to a model that incorporated epidemiological data alone.
interpretationBy predicting the distribution of future HIV cases, a combined phylogenetic and epidemiological approach identifies hotspots where public health resources are needed most.
fundingCanadian Institutes of Health Research, University of British Columbia, Public Health Agency of Canada, Genome Canada, Genome BC, Michael Smith Foundation for Health Research, and BC Centre for Excellence in HIV/AIDS.
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