Literature DB >> 17540410

Emergent heterogeneity in declining tuberculosis epidemics.

Caroline Colijn1, Ted Cohen, Megan Murray.   

Abstract

Tuberculosis is a disease of global importance: over 2 million deaths are attributed to this infectious disease each year. Even in areas where tuberculosis is in decline, there are sporadic outbreaks which are often attributed either to increased host susceptibility or increased strain transmissibility and virulence. Using two mathematical models, we explore the role of the contact structure of the population, and find that in declining epidemics, localized outbreaks may occur as a result of contact heterogeneity even in the absence of host or strain variability. We discuss the implications of this finding for tuberculosis control in low incidence settings.

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Year:  2007        PMID: 17540410      PMCID: PMC2652758          DOI: 10.1016/j.jtbi.2007.04.015

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  27 in total

1.  Infection dynamics on scale-free networks.

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2001-11-19

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3.  Beneficial and perverse effects of isoniazid preventive therapy for latent tuberculosis infection in HIV-tuberculosis coinfected populations.

Authors:  Ted Cohen; Marc Lipsitch; Rochelle P Walensky; Megan Murray
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-21       Impact factor: 11.205

4.  Exogenous re-infection and the dynamics of tuberculosis epidemics: local effects in a network model of transmission.

Authors:  Ted Cohen; Caroline Colijn; Bryson Finklea; Megan Murray
Journal:  J R Soc Interface       Date:  2007-06-22       Impact factor: 4.118

5.  Prospects for worldwide tuberculosis control under the WHO DOTS strategy. Directly observed short-course therapy.

Authors:  C Dye; G P Garnett; K Sleeman; B G Williams
Journal:  Lancet       Date:  1998-12-12       Impact factor: 79.321

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Journal:  Adv Tuberc Res       Date:  1976

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Authors:  E Vynnycky; P E Fine
Journal:  Int J Epidemiol       Date:  1999-04       Impact factor: 7.196

8.  The development of clinical tuberculosis following infection with tubercle bacilli. 1. A theoretical model for the development of clinical tuberculosis following infection, linking from data on the risk of tuberculous infection and the incidence of clinical tuberculosis in the Netherlands.

Authors:  I Sutherland; E Svandová; S Radhakrishna
Journal:  Tubercle       Date:  1982-12

9.  The intrinsic transmission dynamics of tuberculosis epidemics.

Authors:  S M Blower; A R McLean; T C Porco; P M Small; P C Hopewell; M A Sanchez; A R Moss
Journal:  Nat Med       Date:  1995-08       Impact factor: 53.440

10.  Applying network theory to epidemics: control measures for Mycoplasma pneumoniae outbreaks.

Authors:  Lauren Ancel Meyers; M E J Newman; Michael Martin; Stephanie Schrag
Journal:  Emerg Infect Dis       Date:  2003-02       Impact factor: 6.883

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  11 in total

1.  Heterogeneity in tuberculosis transmission and the role of geographic hotspots in propagating epidemics.

Authors:  David W Dowdy; Jonathan E Golub; Richard E Chaisson; Valeria Saraceni
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

Review 2.  Data needs for evidence-based decisions: a tuberculosis modeler's 'wish list'.

Authors:  D W Dowdy; C Dye; T Cohen
Journal:  Int J Tuberc Lung Dis       Date:  2013-07       Impact factor: 2.373

3.  Introducing risk inequality metrics in tuberculosis policy development.

Authors:  M Gabriela M Gomes; Juliane F Oliveira; Adelmo Bertolde; Diepreye Ayabina; Tuan Anh Nguyen; Ethel L Maciel; Raquel Duarte; Binh Hoa Nguyen; Priya B Shete; Christian Lienhardt
Journal:  Nat Commun       Date:  2019-06-06       Impact factor: 14.919

4.  Progression from latent infection to active disease in dynamic tuberculosis transmission models: a systematic review of the validity of modelling assumptions.

Authors:  Nicolas A Menzies; Emory Wolf; David Connors; Meghan Bellerose; Alyssa N Sbarra; Ted Cohen; Andrew N Hill; Reza Yaesoubi; Kara Galer; Peter J White; Ibrahim Abubakar; Joshua A Salomon
Journal:  Lancet Infect Dis       Date:  2018-04-10       Impact factor: 25.071

Review 5.  Data for action: collection and use of local data to end tuberculosis.

Authors:  Grant Theron; Helen E Jenkins; Frank Cobelens; Ibrahim Abubakar; Aamir J Khan; Ted Cohen; David W Dowdy
Journal:  Lancet       Date:  2015-10-26       Impact factor: 79.321

6.  Dynamics of a Mathematical Model for Tuberculosis with Variability in Susceptibility and Disease Progressions Due to Difference in Awareness Level.

Authors:  Daniel Okuonghae; Bernard O Ikhimwin
Journal:  Front Microbiol       Date:  2016-01-26       Impact factor: 5.640

7.  Effects of smoking and solid-fuel use on COPD, lung cancer, and tuberculosis in China: a time-based, multiple risk factor, modelling study.

Authors:  Hsien-Ho Lin; Megan Murray; Ted Cohen; Caroline Colijn; Majid Ezzati
Journal:  Lancet       Date:  2008-10-03       Impact factor: 79.321

8.  Interpreting measures of tuberculosis transmission: a case study on the Portuguese population.

Authors:  Joao Sollari Lopes; Paula Rodrigues; Suani T R Pinho; Roberto F S Andrade; Raquel Duarte; M Gabriela M Gomes
Journal:  BMC Infect Dis       Date:  2014-06-18       Impact factor: 3.090

9.  Molecular Epidemiology of Tuberculosis in British Columbia, Canada: A 10-Year Retrospective Study.

Authors:  Jennifer L Guthrie; Clare Kong; David Roth; Danielle Jorgensen; Mabel Rodrigues; Linda Hoang; Patrick Tang; Victoria Cook; James Johnston; Jennifer L Gardy
Journal:  Clin Infect Dis       Date:  2018-03-05       Impact factor: 9.079

10.  The Importance of Heterogeneity to the Epidemiology of Tuberculosis.

Authors:  James M Trauer; Peter J Dodd; M Gabriela M Gomes; Gabriela B Gomez; Rein M G J Houben; Emma S McBryde; Yayehirad A Melsew; Nicolas A Menzies; Nimalan Arinaminpathy; Sourya Shrestha; David W Dowdy
Journal:  Clin Infect Dis       Date:  2019-06-18       Impact factor: 9.079

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