Literature DB >> 9225454

To treat or not to treat: the case of tuberculosis.

C Castillo-Chavez1, Z Feng.   

Abstract

Incomplete treatment of patients with infectious tuberculosis (TB) may not only lead to relapse but also to the development of antibiotic resistant TB-one of the most serious health problems facing society today. In this article, we formulate one-strain and two-strain TB models to determine possible mechanisms that may allow for the survival and spread of naturally resistant strains of TB as well as antibiotic-generated resistant strains of TB. Analysis of our models shows that non-antibiotic co-existence is possible but rare for naturally resistant strains while co-existence is almost the rule for strains that result from the lack of compliance with antibiotic treatment by TB infected individuals.

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Year:  1997        PMID: 9225454     DOI: 10.1007/s002850050069

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  30 in total

1.  Criteria for the control of drug-resistant tuberculosis.

Authors:  C Dye; B G Williams
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

2.  Will tuberculosis become resistant to all antibiotics?

Authors:  C Dye; M A Espinal
Journal:  Proc Biol Sci       Date:  2001-01-07       Impact factor: 5.349

3.  Systematic evaluation of the population-level effects of alternative treatment strategies on the basic reproduction number.

Authors:  Dmitry Gromov; Ingo Bulla; Ethan O Romero-Severson
Journal:  J Theor Biol       Date:  2018-11-27       Impact factor: 2.691

Review 4.  Disease transmission dynamics and the evolution of antibiotic resistance in hospitals and communal settings.

Authors:  S A Levin; a V Andreasen
Journal:  Proc Natl Acad Sci U S A       Date:  1999-02-02       Impact factor: 11.205

5.  The effect of co-colonization with community-acquired and hospital-acquired methicillin-resistant Staphylococcus aureus strains on competitive exclusion.

Authors:  Joanna Pressley; Erika M C D'Agata; Glenn F Webb
Journal:  J Theor Biol       Date:  2010-03-27       Impact factor: 2.691

6.  A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes.

Authors:  Chang Gong; Jennifer J Linderman; Denise Kirschner
Journal:  Math Biosci Eng       Date:  2015-06       Impact factor: 2.080

Review 7.  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

8.  Live attenuated HIV vaccines: predicting the tradeoff between efficacy and safety.

Authors:  S M Blower; K Koelle; D E Kirschner; J Mills
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-13       Impact factor: 11.205

9.  A model of tuberculosis transmission and intervention strategies in an urban residential area.

Authors:  Elsje Pienaar; Aaron M Fluitt; Scott E Whitney; Alison G Freifeld; Hendrik J Viljoen
Journal:  Comput Biol Chem       Date:  2010-03-09       Impact factor: 2.877

10.  Tuberculosis in Cape Town: An age-structured transmission model.

Authors:  Nello Blaser; Cindy Zahnd; Sabine Hermans; Luisa Salazar-Vizcaya; Janne Estill; Carl Morrow; Matthias Egger; Olivia Keiser; Robin Wood
Journal:  Epidemics       Date:  2015-10-20       Impact factor: 4.396

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