Literature DB >> 21352786

Epidemiological bridging by injection drug use drives an early HIV epidemic.

Erik Volz1, Simon D W Frost2, Richard Rothenberg3, Lauren Ancel Meyers4.   

Abstract

The risk of acquiring sexually transmitted infections (STIs) depends on individual behavior and the network of risky partnerships in which an individual participates. STI epidemics often spread rapidly and primarily among individuals central to transmission networks; and thus they often defy the mass-action principle since incidence is not proportional to the infectious fraction of the population. Here, we estimate the contact network structure for an Atlanta, Georgia community with heterogeneous sexual and drug-related risk behaviors and build a detailed transmission model for HIV through this population. We show that accurate estimation of epidemic incidence requires careful measurement and inclusion of diverse factors including concurrency (having multiple partners), the duration of partnerships, serosorting (preference for partners with matching disease state), and heterogeneity in the number and kinds of partners. In the focal population, we find that injection drug users (IDUs) do not directly cause many secondary infections; yet they bridge the heterosexual and men-who-have-sex-with-men (MSM) populations and are thereby indirectly responsible for extensive transmission.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21352786     DOI: 10.1016/j.epidem.2010.06.003

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  15 in total

1.  Agent-based and phylogenetic analyses reveal how HIV-1 moves between risk groups: injecting drug users sustain the heterosexual epidemic in Latvia.

Authors:  Frederik Graw; Thomas Leitner; Ruy M Ribeiro
Journal:  Epidemics       Date:  2012-05-02       Impact factor: 4.396

2.  Endogenous or exogenous spreading of HIV-1 in Nordrhein-Westfalen, Germany, investigated by phylodynamic analysis of the RESINA Study cohort.

Authors:  Glenn Lawyer; Eugen Schülter; Rolf Kaiser; Stefan Reuter; Mark Oette; Thomas Lengauer
Journal:  Med Microbiol Immunol       Date:  2012-01-20       Impact factor: 3.402

3.  Outbreak analysis of an SIS epidemic model with rewiring.

Authors:  David Juher; Jordi Ripoll; Joan Saldaña
Journal:  J Math Biol       Date:  2012-06-12       Impact factor: 2.259

4.  Dating, marriage, and parenthood for HIV-positive heterosexual Puerto Rican men: normalizing perspectives on everyday life with HIV.

Authors:  Francisco Sastre; Diana M Sheehan; Arnaldo Gonzalez
Journal:  Am J Mens Health       Date:  2014-05-02

Review 5.  Phylogenetic inferences on HIV-1 transmission: implications for the design of prevention and treatment interventions.

Authors:  Bluma Brenner; Mark A Wainberg; Michel Roger
Journal:  AIDS       Date:  2013-04-24       Impact factor: 4.177

6.  Identification of major routes of HIV transmission throughout Mesoamerica.

Authors:  Antoine Chaillon; Santiago Avila-Ríos; Joel O Wertheim; Ann Dennis; Claudia García-Morales; Daniela Tapia-Trejo; Carlos Mejía-Villatoro; Juan M Pascale; Guillermo Porras-Cortés; Carlos J Quant-Durán; Ivette Lorenzana; Rita I Meza; Elsa Y Palou; Marvin Manzanero; Rolando A Cedillos; Gustavo Reyes-Terán; Sanjay R Mehta
Journal:  Infect Genet Evol       Date:  2017-06-20       Impact factor: 3.342

7.  Detectable signals of episodic risk effects on acute HIV transmission: strategies for analyzing transmission systems using genetic data.

Authors:  Shah Jamal Alam; Xinyu Zhang; Ethan Obie Romero-Severson; Christopher Henry; Lin Zhong; Erik M Volz; Bluma G Brenner; James S Koopman
Journal:  Epidemics       Date:  2012-11-23       Impact factor: 4.396

8.  Do metropolitan HIV epidemic histories and programs for people who inject drugs and men who have sex with men predict AIDS incidence and mortality among heterosexuals?

Authors:  Samuel R Friedman; Brooke S West; Barbara Tempalski; Cory M Morton; Charles M Cleland; Don C Des Jarlais; H Irene Hall; Hannah L F Cooper
Journal:  Ann Epidemiol       Date:  2014-01-24       Impact factor: 3.797

9.  Latent class analysis of polysubstance use, sexual risk behaviors, and infectious disease among South African drug users.

Authors:  Rebecca C Trenz; Michael Scherer; Alexandra Duncan; Paul T Harrell; Anne Gloria Moleko; William W Latimer
Journal:  Drug Alcohol Depend       Date:  2013-04-03       Impact factor: 4.492

10.  Model hierarchies in edge-based compartmental modeling for infectious disease spread.

Authors:  Joel C Miller; Erik M Volz
Journal:  J Math Biol       Date:  2012-08-22       Impact factor: 2.259

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