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Estimating the Current Routes of Transmission in HIV-1 F1 Subtype Infected Persons in Romania: Differences Between Self-Reporting and Phylogenetic Data
Monitoring the HIV epidemic in Romania has proven challenging due to many factors, including the reluctance of newly diagnosed patients to disclose relevant epidemiological aspects during the clinical interview, such as sexual orientation or the existence of previous issues with injectable drug usag...
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| Published in: | Pathogens (Basel) 2024-11, Vol.13 (11), p.960 |
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| container_issue | 11 |
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| container_title | Pathogens (Basel) |
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| creator | Hohan, Robert Paraschiv, Simona Nicolae, Ionelia Oțelea, Dan |
| description | Monitoring the HIV epidemic in Romania has proven challenging due to many factors, including the reluctance of newly diagnosed patients to disclose relevant epidemiological aspects during the clinical interview, such as sexual orientation or the existence of previous issues with injectable drug usage. We propose in this study a molecular approach to mitigate this problem with the help of bioinformatic tools, such as cluster analysis of phylogenetic trees. Both a maximum likelihood estimation, as implemented with FastTree, and a Bayesian approach, as used in BEAST, have been applied to our data set of 312 HIV subtype F1
gene sequences. ClusterPicker was used in order to identify groups of sequences and indicate similarities possibly related to the route of transmission. An important observation from this analysis is that transmission between men who have sex with men (MSM) is likely occurring in networks significantly larger than previously assessed by self-reported data (65% from the phylogenetic tree versus 37% from self-declared affiliation). Cluster analysis can help identify risk factors, reveal transmission trends, and, consequently, advise prevention programs. |
| doi_str_mv | 10.3390/pathogens13110960 |
| format | article |
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gene sequences. ClusterPicker was used in order to identify groups of sequences and indicate similarities possibly related to the route of transmission. An important observation from this analysis is that transmission between men who have sex with men (MSM) is likely occurring in networks significantly larger than previously assessed by self-reported data (65% from the phylogenetic tree versus 37% from self-declared affiliation). Cluster analysis can help identify risk factors, reveal transmission trends, and, consequently, advise prevention programs.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39599513</pmid><doi>10.3390/pathogens13110960</doi><orcidid>https://orcid.org/0000-0002-8616-6559</orcidid><orcidid>https://orcid.org/0000-0001-6707-3720</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Pathogens (Basel), 2024-11, Vol.13 (11), p.960 |
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| source | Publicly Available Content Database; PubMed Central; Coronavirus Research Database |
| subjects | Acquired immune deficiency syndrome AIDS Bayesian analysis Cluster analysis clusters Datasets Disease transmission Epidemics Epidemiology Gene sequencing Heterosexuality HIV HIV (Viruses) Human immunodeficiency virus Infectious diseases Maximum likelihood estimation Nosocomial infections Pediatrics phylogenetic Phylogenetics Phylogeny Pol gene Risk factors Romania Self report Sexual behavior Sexually transmitted diseases STD transmission Trends |
| title | Estimating the Current Routes of Transmission in HIV-1 F1 Subtype Infected Persons in Romania: Differences Between Self-Reporting and Phylogenetic Data |
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