ArticleJournal of the International AIDS Society2021
Characteristics and growth of the genetic HIV transmission network of Mexico City during 2020.
Article in Journal of the International AIDS Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 15 citations in OpenAlex.
- Delineating the "who-where-how" of persistent HIV epidemics: a 23-year longitudinal genetic network, phylodynamic, and spatial analysis for precise intervention in rural China.Emerging microbes & infections · 2026Article
- HIV Transmission Dynamics in Greater Mexico City are Shaped by Dense Spatial Mixing.Research square · 2026Article
- HIV Transmission Dynamics in Greater Mexico City are Shaped by Dense Spatial Mixing.medRxiv : the preprint server for health sciences · 2026Article
- Prevalence, dynamic change and spatial distribution of HIV-1 CRF119_0107 from 2019 to 2024 in Nanjing, China: a genomic and spatial epidemiological analysis.Virology journal · 2025Article
- HIV molecular network in Mexico City (2021-2022): Understanding transmission dynamics through the role of newly diagnosed cases.HIV medicine · 2025Article
- Characterization of People Living with HIV Who Inject Drugs in Mexico City: Importance for Transmission and Detection.AIDS patient care and STDs · 2025Article
- Dynamics of clustering rates in the Rhode Island HIV-1 epidemic.AIDS (London, England) · 2025Article
- Molecular transmission network characteristics and high-risk transmission analysis of newly reported HIV-1 subjects in Nantong, China.Frontiers in immunology · 2025Article
- Exploring Dynamic Changes in HIV-1 Molecular Transmission Networks and Key Influencing Factors: Cross-Sectional Study.JMIR public health and surveillance · 2024Article
- The origin, dissemination, and molecular networks of HIV-1 CRF65_cpx strain in Hainan Island, China.BMC infectious diseases · 2024Article
- HIV-1 drug resistance and genetic transmission network among newly diagnosed people living with HIV/AIDS in Ningbo, China between 2018 and 2021.Virology journal · 2023Article
- Epidemiological characteristics of HIV transmission in southeastern China from 2015 to 2020 based on HIV molecular network.Frontiers in public health · 2023Article
- Phylodynamics of HIV in the Mexico City Metropolitan Region.Journal of virology · 2022Article
- HIV Pretreatment Drug Resistance Trends in Mexico City, 2017-2020.Pathogens (Basel, Switzerland) · 2021Article
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18 authors at 3 institutions in 2 countries.
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Abstract
introductionMolecular surveillance systems could provide public health benefits to focus strategies to improve the HIV care continuum. Here, we infer the HIV genetic network of Mexico City in 2020, and identify actively growing clusters that could represent relevant targets for intervention.
methodsAll new diagnoses, referrals from other institutions, as well as persons returning to care, enrolling at the largest HIV clinic in Mexico City were invited to participate in the study. The network was inferred from HIV pol sequences, using pairwise genetic distance methods, with a locally hosted, secure version of the HIV-TRACE tool: Seguro HIV-TRACE. Socio-demographic, clinical and behavioural metadata were overlaid across the network to design focused prevention interventions.
resultsA total of 3168 HIV sequences from unique individuals were included. One thousand and one-hundred and fifty (36%) sequences formed 1361 links within 386 transmission clusters in the network. Cluster size varied from 2 to 14 (63% were dyads). After adjustment for covariates, lower age (adjusted odds ratio [aOR]: 0.37, p<0.001; >34 vs. <24 years), being a man who has sex with men (MSM) (aOR: 2.47, p = 0.004; MSM vs. cisgender women), having higher viral load (aOR: 1.28, p<0.001) and higher CD4+ T cell count (aOR: 1.80, p<0.001; ≥500 vs. <200 cells/mm
conclusionsHIV transmission in Mexico City is strongly driven by young MSM with higher education level and recent infection. Nevertheless, leveraging network inference, we identified actively growing clusters that could be prioritized for focused intervention with demographic and risk characteristics that do not necessarily reflect the ones observed in the overall clustering population. Further studies evaluating different models to predict growing clusters are warranted. Focused interventions will have to consider structural and risk disparities between the MSM and the heterosexual populations.
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