Literature DB >> 27571901

Historical Trends in the Hepatitis C Virus Epidemics in North America and Australia.

Chaturaka Rodrigo1, Auda A Eltahla1, Rowena A Bull1, Jason Grebely2, Gregory J Dore2, Tanya Applegate2, Kimberly Page3, Julie Bruneau4, Meghan D Morris5, Andrea L Cox6, William Osburn6, Arthur Y Kim7, Janke Schinkel8, Naglaa H Shoukry4, Georg M Lauer7, Lisa Maher2, Margaret Hellard9, Maria Prins8,10, Chris Estes11, Homie Razavi11, Andrew R Lloyd1,2, Fabio Luciani1.   

Abstract

BACKGROUND: Bayesian evolutionary analysis (coalescent analysis) based on genetic sequences has been used to describe the origins and spread of rapidly mutating RNA viruses, such as influenza, Ebola, human immunodeficiency virus (HIV), and hepatitis C virus (HCV).
METHODS: Full-length subtype 1a and 3a sequences from early HCV infections from the International Collaborative of Incident HIV and Hepatitis C in Injecting Cohorts (InC3), as well as from public databases from a time window of 1977-2012, were used in a coalescent analysis with BEAST software to estimate the origin and progression of the HCV epidemics in Australia and North America. Convergent temporal trends were sought via independent epidemiological modeling.
RESULTS: The epidemic of subtype 3a had more recent origins (around 1950) than subtype 1a (around 1920) in both continents. In both modeling approaches and in both continents, the epidemics underwent exponential growth between 1955 and 1975, which then stabilized in the late 20th century.
CONCLUSIONS: Historical events that fuelled the emergence and spread of injecting drug use, such as the advent of intravenous medical therapies and devices, and growth in the heroin trade, as well as population mixing during armed conflicts, were likely drivers for the cross-continental spread of the HCV epidemics.
© The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail journals.permissions@oup.com.

Entities:  

Keywords:  BEAST; HCV; PWID; coalescent; epidemiology; injecting drug use

Mesh:

Substances:

Year:  2016        PMID: 27571901      PMCID: PMC5079374          DOI: 10.1093/infdis/jiw389

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  39 in total

1.  The history of blood transfusion.

Authors:  P L Giangrande
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3.  Bayesian coalescent inference of past population dynamics from molecular sequences.

Authors:  A J Drummond; A Rambaut; B Shapiro; O G Pybus
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4.  MEGA: a biologist-centric software for evolutionary analysis of DNA and protein sequences.

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5.  Injection drug users in the United States, 1979-2002: an aging population.

Authors:  Gregory L Armstrong
Journal:  Arch Intern Med       Date:  2007-01-22

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Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-18       Impact factor: 11.205

7.  The epidemic behavior of the hepatitis C virus.

Authors:  O G Pybus; M A Charleston; S Gupta; A Rambaut; E C Holmes; P H Harvey
Journal:  Science       Date:  2001-06-22       Impact factor: 47.728

8.  Narcotic use in southeast Asia and afterward. An interview study of 898 Vietnam returnees.

Authors:  L N Robins; J E Helzer; D H Davis
Journal:  Arch Gen Psychiatry       Date:  1975-08

9.  The prevalence of hepatitis C virus infection in the United States, 1999 through 2002.

Authors:  Gregory L Armstrong; Annemarie Wasley; Edgar P Simard; Geraldine M McQuillan; Wendi L Kuhnert; Miriam J Alter
Journal:  Ann Intern Med       Date:  2006-05-16       Impact factor: 25.391

10.  BEAST: Bayesian evolutionary analysis by sampling trees.

Authors:  Alexei J Drummond; Andrew Rambaut
Journal:  BMC Evol Biol       Date:  2007-11-08       Impact factor: 3.260

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