Literature DB >> 21156095

Probabilistic network modelling of the impact of penicillin consumption on spread of pneumococci.

D Karlsson1.   

Abstract

The worldwide increase of resistant S. pneumoniae is a growing clinical problem. In several countries, a more restrictive use of penicillin has been promoted in hope of slowing the rates of resistant pneumococci. However, the consequences of such an action on pneumococcal population dynamics are not fully understood. Thus, a network model was constructed to assess the impacts of penicillin consumption and between-strain competition on the spread of penicillin non-susceptible pneumococci. Model simulations suggest that the age distribution for carriage of penicillin non-susceptible pneumococci, in contrast to susceptible pneumococci, is affected by penicillin consumption. Furthermore, it appears extremely difficult to reduce the incidence of penicillin non-susceptible pneumococci by simply controlling penicillin consumption, assuming that reduced penicillin susceptibility does not confer a fitness cost for the organism. A more judicious use of penicillin together with control measures are in that case required to manage penicillin resistance in pneumococci.

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Year:  2010        PMID: 21156095     DOI: 10.1017/S0950268810002773

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  6 in total

1.  Potential impact of introducing the pneumococcal conjugate vaccine into national immunisation programmes: an economic-epidemiological analysis using data from India.

Authors:  Itamar Megiddo; Eili Klein; Ramanan Laxminarayan
Journal:  BMJ Glob Health       Date:  2018-05-09

2.  Antimicrobial resistance to benzylpenicillin in invasive pneumococcal disease in Belgium, 2003-2010: the effect of altering clinical breakpoints.

Authors:  M C Goossens; B Catry; J Verhaegen
Journal:  Epidemiol Infect       Date:  2012-06-07       Impact factor: 2.451

3.  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

Review 4.  What should be considered if you decide to build your own mathematical model for predicting the development of bacterial resistance? Recommendations based on a systematic review of the literature.

Authors:  Maria Arepeva; Alexey Kolbin; Alexey Kurylev; Julia Balykina; Sergey Sidorenko
Journal:  Front Microbiol       Date:  2015-04-29       Impact factor: 5.640

5.  Pneumococcal transmission and disease in silico: a microsimulation model of the indirect effects of vaccination.

Authors:  Markku Nurhonen; Allen C Cheng; Kari Auranen
Journal:  PLoS One       Date:  2013-02-06       Impact factor: 3.240

6.  Long-term effects of penicillin resistance and fitness cost on pneumococcal transmission dynamics in a developed setting.

Authors:  Diana Tilevik
Journal:  Infect Ecol Epidemiol       Date:  2016-05-19
  6 in total

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