HIV-1 Infection in Cyprus, the Eastern Mediterranean European Frontier: A Densely Sampled Transmission Dynamics Analysis from 1986 to 2012

Andrea Clemencia Pineda-Peña, Kristof Theys, Dora C. Stylianou, Ioannis Demetriades, Elisabeth Puchhammer, Anne Mieke Vandamme, Ivailo Aleksiev, Snjezana Zidovec Lepej, Marek Linka, Jannik Fonager, Kirsi Liitsola, Rolf Kaiser, Osamah Hamouda, Dimitrios Paraskevis, Suzie Coughlan, Zehava Grossman, Orna Mor, Maurizio Zazzi, Algirdas Griskevicius, Vilnele LipnickieneCarole Devaux, Charles Boucher, Marije Hofstra, Annemarie Wensing, Anne Marte Bakken-Kran, Andrzej Horban, Ricardo Camacho, Simona Paraschiv, Dan Otelea, Maja Stanojevic, Danika Stanekova, Mario Poljak, Federico Garcia, Roger Paredes, Jan Albert, Ana B. Abecasis, Leondios G. Kostrikis

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Since HIV-1 treatment is increasingly considered an effective preventionstrategy, it is important to study local HIV-1 epidemics to formulate tailored preventionpolicies. The prevalence of HIV-1 in Cyprus was historically low until 2005. To investigatethe shift in epidemiological trends, we studied the transmission dynamics of HIV-1 in Cyprususing a densely sampled Cypriot HIV-1 transmission cohort that included 85 percent ofHIV-1-infected individuals linked to clinical care between 1986 and 2012 based on detailedclinical, epidemiological, behavioral and HIV-1 genetic information. Subtyping andtransmission cluster reconstruction were performed using maximum likelihood and Bayesianmethods, and the transmission chain network was linked to the clinical, epidemiological andbehavioral data. The results reveal that for the main HIV-1 subtype A1 and B sub-epidemics,young and drug-naïve HIV-1-infected individuals in Cyprus are driving the dynamics of thelocal HIV-1 epidemic. The results of this study provide a better understanding of thedynamics of the HIV-1 infection in Cyprus, which may impact the development of preventionstrategies. Furthermore, this methodology for analyzing densely sampled transmissiondynamics is applicable to other geographic regions to implement effective HIV-1 preventionstrategies in local settings.

Original languageEnglish (US)
Article number1702
JournalScientific Reports
Issue number1
StatePublished - Dec 1 2018

All Science Journal Classification (ASJC) codes

  • General


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