2017
DOI: 10.1016/j.meegid.2017.06.021
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Identification of major routes of HIV transmission throughout Mesoamerica

Abstract: Background Migration and travel are major drivers of the spread of infectious diseases. Geographic proximity and a common language facilitate travel and migration in Mesoamerica, which in turn could affect the spread of HIV in the region. Methods 6,092 HIV-1 subtype B partial pol sequences sampled from unique antiretroviral treatment-naive individuals from Mexico (40.7%), Guatemala (24.4%), Honduras (19%), Panama (8.2%), Nicaragua (5.5%), Belize (1.4%), and El Salvador (0.7%) between 2011–2016 were included.… Show more

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Cited by 17 publications
(8 citation statements)
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“…Human migration also has a key influence on HIV transmission. In a study of HIV across Mesoamerica, human mobility in part due to economic migration likely bridged infected and susceptible populations resulting in transmission of HIV [31]. Wertheim's global look at the overall HIV transmission network found many links between persons from different nations, highlighting the role of travel or migration in the spread of the virus [48].…”
Section: Human Mobility and Hivmentioning
confidence: 99%
“…Human migration also has a key influence on HIV transmission. In a study of HIV across Mesoamerica, human mobility in part due to economic migration likely bridged infected and susceptible populations resulting in transmission of HIV [31]. Wertheim's global look at the overall HIV transmission network found many links between persons from different nations, highlighting the role of travel or migration in the spread of the virus [48].…”
Section: Human Mobility and Hivmentioning
confidence: 99%
“…A 5.6-fold increase can be observed when comparing 2012 with 2017. Young adults (18)(19)(20)(21)(22)(23)(24) and adults (25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50)(51)(52)(53)(54) age groups make up a great amount of the patients tested as shown in Table 1 and Figure 2(a).…”
Section: Demographic Descriptionmentioning
confidence: 99%
“…gag and pol sequence clusters, defined by within-cluster patristic distances of ≤1.5% and bootstrap support values of ≥90%, were identified using Cluster Picker (The University of Edinburgh, United Kingdom) ( 80 ). This genetic distance threshold has been used previously for inferring transmission clusters in chronic cohorts ( 81 ). HIV genetic compartmentalization between cohorts was assessed using the fixation index (F ST ) score ( 82 ) implemented in HyPhy ( 75 ).…”
Section: Methodsmentioning
confidence: 99%