Literature DB >> 8349360

Modeling and simulating the evolution of resistance against antibiotics.

E Massad1, S Lundberg, H M Yang.   

Abstract

An epidemiological model is proposed for the spread of resistance against antibiotics in populations of bacterial pathogens. The host population, which is assumed to be constant, is divided into three compartments, viz. susceptible, hosts infected by an antibiotic-sensitive strain and hosts infected by a resistant strain. It is further assumed that susceptibles can be infected by either strain and that there is a possibility for cross-infection between hosts infected by the two strains. The rate of cross-infection can be enhanced by mutations or the transfer of plasmids conferring resistance. Equilibrium analysis was performed in order to determine which of the strain 'wins' the competition by the host. It is assumed that the eventual shift in the competition between the two strains is due to treatment by antibiotic (selective pressure).

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Year:  1993        PMID: 8349360     DOI: 10.1016/0020-7101(93)90060-j

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  17 in total

1.  Invasion thresholds for fungicide resistance: deterministic and stochastic analyses

Authors: 
Journal:  Proc Biol Sci       Date:  1999-12-22       Impact factor: 5.349

2.  The epidemiology of antibiotic resistance in hospitals: paradoxes and prescriptions.

Authors:  M Lipsitch; C T Bergstrom; B R Levin
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-15       Impact factor: 11.205

Review 3.  The rising impact of mathematical modelling in epidemiology: antibiotic resistance research as a case study.

Authors:  L Temime; G Hejblum; M Setbon; A J Valleron
Journal:  Epidemiol Infect       Date:  2007-09-04       Impact factor: 2.451

4.  The relationship between the volume of antimicrobial consumption in human communities and the frequency of resistance.

Authors:  D J Austin; K G Kristinsson; R M Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  1999-02-02       Impact factor: 11.205

5.  Evaluating treatment protocols to prevent antibiotic resistance.

Authors:  S Bonhoeffer; M Lipsitch; B R Levin
Journal:  Proc Natl Acad Sci U S A       Date:  1997-10-28       Impact factor: 11.205

6.  Studies of antibiotic resistance within the patient, hospitals and the community using simple mathematical models.

Authors:  D J Austin; R M Anderson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-04-29       Impact factor: 6.237

7.  The transmission dynamics of antibiotic-resistant bacteria: the relationship between resistance in commensal organisms and antibiotic consumption.

Authors:  D J Austin; M Kakehashi; R M Anderson
Journal:  Proc Biol Sci       Date:  1997-11-22       Impact factor: 5.349

8.  Compensatory mutations, antibiotic resistance and the population genetics of adaptive evolution in bacteria.

Authors:  B R Levin; V Perrot; N Walker
Journal:  Genetics       Date:  2000-03       Impact factor: 4.562

9.  In-roads to the spread of antibiotic resistance: regional patterns of microbial transmission in northern coastal Ecuador.

Authors:  Joseph N S Eisenberg; Jason Goldstick; William Cevallos; Gabriel Trueba; Karen Levy; James Scott; Bethany Percha; Rosana Segovia; Karina Ponce; Alan Hubbard; Carl Marrs; Betsy Foxman; David L Smith; James Trostle
Journal:  J R Soc Interface       Date:  2011-09-28       Impact factor: 4.118

10.  Application of dynamic modelling techniques to the problem of antibacterial use and resistance: a scoping review.

Authors:  D E Ramsay; J Invik; S L Checkley; S P Gow; N D Osgood; C L Waldner
Journal:  Epidemiol Infect       Date:  2018-07-31       Impact factor: 4.434

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