ArticleInfection and drug resistance2023
Exploring and Predicting the Drivers of Ongoing HIV-1 Transmission in Guangyuan, Sichuan.
Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Molecular network analysis for detecting HIV transmission clusters: insights and implications.Frontiers in public health · 2025Article
- Characterizing HIV-1 transmission by genetic cluster analysis among newly diagnosed patients in the China-Myanmar border region from 2020 to 2023.Emerging microbes & infections · 2024Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Guangyuan was selected as the first pilot city of molecular transmission network in Sichuan Province to implement dynamic monitoring. This study aim to insight the characteristics of HIV-1 molecular epidemiology and explore the influencing factors of transmission dynamics. Furthermore, it predict the driving factors of network expansion by established a transmission risk prediction model. Patients and Methods: A longitudinal cohort study was conducted to obtain a total of 1434 plasma samples from newly diagnosed HIV-infected patients from 2010 to June 2022. Phylogenetic relationship and cluster analysis were performed using HIV-1 polymerase ( Results: A total of 1360 Conclusion: The epidemic genotypes were relatively complex and diverse in Guangyuan. There was a potential transmission association caused widely spread in local area after the new strains entering. The transmission risk prediction model showed excellent predictive ability to forecast cluster growth which can predict the risk factors causing clusters expansion and provide a guidance for precise intervention strategies.
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