ArticlePloS one2016
Short-Term Dynamic and Local Epidemiological Trends in the South American HIV-1B Epidemic.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- State of HIV research in Venezuela: a systematic review.BMC infectious diseases · 2025Pooled it
- South-to-Southeast Expansion of HIV-1 Subtype C in Brazil.Journal of medical virology · 2025Article
- Unraveling HIV-1 transmission patterns through molecular surveillance in a hotspot in Yunnan Province, China.Scientific reports · 2025Article
- Characterization of HIV-1 Transmission Clusters Inferred from the Brazilian Nationwide Genotyping Service Database.Viruses · 2022Article
- Social, Epidemiological, and Virological Characteristics from Peruvian Subjects Living with HIV-1/AIDS with Different Sexual Risk Behavior.AIDS research and human retroviruses · 2022Article
- Using molecular network analysis to explore the characteristics of HIV-1 transmission in a China-Myanmar border area.PloS one · 2022Article
- Characterization of HIV-1 genetic diversity and antiretroviral resistance in the state of Maranhão, Northeast Brazil.PloS one · 2020Article
- Phylogenetics applied to the human immunodeficiency virus type 1 (HIV-1): from the cross-species transmissions to the contact network inferences.Memorias do Instituto Oswaldo Cruz · 2020Article
- Public health in genetic spaces: a statistical framework to optimize cluster-based outbreak detection.Virus evolution · 2020Article
- Comparison of cluster-based and source-attribution methods for estimating transmission risk using large HIV sequence databases.Epidemics · 2018Article
- The HIV-1 Subtype B Epidemic in French Guiana and Suriname Is Driven by Ongoing Transmissions of Pandemic and Non-pandemic Lineages.Frontiers in microbiology · 2018Article
- Identification of major routes of HIV transmission throughout Mesoamerica.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2017Article
- Biased phylodynamic inferences from analysing clusters of viral sequences.Virus evolution · 2017Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human displacement and sexual behavior are the main factors driving the HIV-1 pandemic to the current profile. The intrinsic structure of the HIV transmission among different individuals has valuable importance for the understanding of the epidemic and for the public health response. The aim of this study was to characterize the HIV-1 subtype B (HIV-1B) epidemic in South America through the identification of transmission links and infer trends about geographical patterns and median time of transmission between individuals. Sequences of the protease and reverse transcriptase coding regions from 4,810 individuals were selected from GenBank. Maximum likelihood phylogenies were inferred and submitted to ClusterPicker to identify transmission links. Bayesian analyses were applied only for clusters including ≥5 dated samples in order to estimate the median maximum inter-transmission interval. This study analyzed sequences sampled from 12 South American countries, from individuals of different exposure categories, under different antiretroviral profiles, and from a wide period of time (1989-2013). Continentally, Brazil, Argentina and Venezuela were revealed important sites for the spread of HIV-1B among countries inside South America. Of note, from all the clusters identified about 70% of the HIV-1B infections are primarily occurring among individuals living in the same geographic region. In addition, these transmissions seem to occur early after the infection of an individual, taking in average 2.39 years (95% CI 1.48-3.30) to succeed. Homosexual/Bisexual individuals transmit the virus as quickly as almost half time of that estimated for the general population sampled here. Public health services can be broadly benefitted from this kind of information whether to focus on specific programs of response to the epidemic whether as guiding of prevention campaigns to specific risk groups.
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