Literature DB >> 12387923

Tuberculosis models with fast and slow dynamics: the role of close and casual contacts.

Baojun Song1, Carlos Castillo-Chavez, Juan Pablo Aparicio.   

Abstract

Models that incorporate local and individual interactions are introduced in the context of the transmission dynamics of tuberculosis (TB). The multi-level contact structure implicitly assumes that individuals are at risk of infection from close contacts in generalized household (clusters) as well as from casual (random) contacts in the general population. Epidemiological time scales are used to reduce the dimensionality of the model and singular perturbation methods are used to corroborate the results of time-scale approximations. The concept and impact of optimal average cluster or generalized household size on TB dynamics is discussed. We also discuss the potential impact of our results on the spread of TB.

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Year:  2002        PMID: 12387923     DOI: 10.1016/s0025-5564(02)00112-8

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  12 in total

1.  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

2.  Seasonal dynamics in an SIR epidemic system.

Authors:  E Augeraud-Véron; N Sari
Journal:  J Math Biol       Date:  2013-02-13       Impact factor: 2.259

Review 3.  Epidemiological models of Mycobacterium tuberculosis complex infections.

Authors:  Cagri Ozcaglar; Amina Shabbeer; Scott L Vandenberg; Bülent Yener; Kristin P Bennett
Journal:  Math Biosci       Date:  2012-03-01       Impact factor: 2.144

4.  Representing Tuberculosis Transmission with Complex Contagion: An Agent-Based Simulation Modeling Approach.

Authors:  Erin D Zwick; Caitlin S Pepperell; Oguzhan Alagoz
Journal:  Med Decis Making       Date:  2021-04-27       Impact factor: 2.583

5.  Modelling potential responses to severe acute respiratory syndrome in Japan: the role of initial attack size, precaution, and quarantine.

Authors:  H Nishiura; K Patanarapelert; M Sriprom; W Sarakorn; S Sriyab; I Ming Tang
Journal:  J Epidemiol Community Health       Date:  2004-03       Impact factor: 3.710

6.  Assessing the potential impact of limited public health resources on the spread and control of typhoid.

Authors:  J Mushanyu; F Nyabadza; G Muchatibaya; P Mafuta; G Nhawu
Journal:  J Math Biol       Date:  2018-02-27       Impact factor: 2.259

7.  An object simulation model for modeling hypothetical disease epidemics - EpiFlex.

Authors:  Brian Hanley
Journal:  Theor Biol Med Model       Date:  2006-08-23       Impact factor: 2.432

Review 8.  Contact tracing of tuberculosis: a systematic review of transmission modelling studies.

Authors:  Matt Begun; Anthony T Newall; Guy B Marks; James G Wood
Journal:  PLoS One       Date:  2013-09-04       Impact factor: 3.240

9.  What does a mathematical model tell about the impact of reinfection in korean tuberculosis infection?

Authors:  Sara Kim; Seoyun Choe; Junseong Kim; Sanga Nam; Yeon Shin; Sunmi Lee
Journal:  Osong Public Health Res Perspect       Date:  2014-02-05

10.  Modeling and dynamic analysis of tuberculosis in mainland China from 1998 to 2017: the effect of DOTS strategy and further control.

Authors:  Siyu Liu; Yingjie Bi; Yawen Liu
Journal:  Theor Biol Med Model       Date:  2020-05-04       Impact factor: 2.432

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