| Autor: |
Sanjay R. Mehta, Joel O. Wertheim, Kimberly C. Brouwer, Karla D. Wagner, Antoine Chaillon, Steffanie Strathdee, Thomas L. Patterson, Maria G. Rangel, Mlenka Vargas, Ben Murrell, Richard Garfein, Susan J. Little, Davey M. Smith |
| Jazyk: |
angličtina |
| Rok vydání: |
2015 |
| Předmět: |
|
| Zdroj: |
EBioMedicine, Vol 2, Iss 10, Pp 1456-1463 (2015) |
| Druh dokumentu: |
article |
| ISSN: |
2352-3964 |
| DOI: |
10.1016/j.ebiom.2015.07.024 |
| Popis: |
Background: HIV sequence data can be used to reconstruct local transmission networks. Along international borders, like the San Diego–Tijuana region, understanding the dynamics of HIV transmission across reported risks, racial/ethnic groups, and geography can help direct effective prevention efforts on both sides of the border. Methods: We gathered sociodemographic, geographic, clinical, and viral sequence data from HIV infected individuals participating in ten studies in the San Diego–Tijuana border region. Phylogenetic and network analysis was performed to infer putative relationships between HIV sequences. Correlates of identified clusters were evaluated and spatiotemporal relationships were explored using Bayesian phylogeographic analysis. Findings: After quality filtering, 843 HIV sequences with associated demographic data and 263 background sequences from the region were analyzed, and 138 clusters were inferred (2–23 individuals). Overall, the rate of clustering did not differ by ethnicity, residence, or sex, but bisexuals were less likely to cluster than heterosexuals or men who have sex with men (p = 0.043), and individuals identifying as white (p ≤ 0.01) were more likely to cluster than other races. Clustering individuals were also 3.5 years younger than non-clustering individuals (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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