Literature DB >> 12083443

The impact of the phase of an epidemic of sexually transmitted infection on the evolution of the organism.

K M E Turner1, G P Garnett.   

Abstract

The evolution of any sexually transmitted organism will be influenced by prevailing epidemiological interactions. The optimum strategy for an organism to overcome treatment, either through drug resistance or cryptic infections, depends upon whether the method for identifying patients is passive (treating symptoms alone favours asymptomatic organisms) or active (screening favours resistant organisms). The use of mathematical models of competing strains of infection allows theoretical predictions for the outcome of evolution under a range of assumptions about potential phenotypes. The course of pathogen evolution has implications for the success of interventions, but the predictions presented need to be tested at the level of the community in carefully monitored interventions.

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Year:  2002        PMID: 12083443      PMCID: PMC1765825          DOI: 10.1136/sti.78.suppl_1.i20

Source DB:  PubMed          Journal:  Sex Transm Infect        ISSN: 1368-4973            Impact factor:   3.519


  5 in total

1.  No coexistence for free: neutral null models for multistrain pathogens.

Authors:  Marc Lipsitch; Caroline Colijn; Ted Cohen; William P Hanage; Christophe Fraser
Journal:  Epidemics       Date:  2008-11-04       Impact factor: 4.396

Review 2.  The arc of HIV epidemics in sub-Saharan Africa: new challenges with concentrating epidemics in the era of 90-90-90.

Authors:  Katrina F Ortblad; Jared M Baeten; Peter Cherutich; Joyce Njeri Wamicwe; Judith N Wasserheit
Journal:  Curr Opin HIV AIDS       Date:  2019-09       Impact factor: 4.283

3.  Public health measures to control the spread of antimicrobial resistance in Neisseria gonorrhoeae in men who have sex with men.

Authors:  M Xiridou; L C Soetens; F D H Koedijk; M A B VAN DER Sande; J Wallinga
Journal:  Epidemiol Infect       Date:  2014-10-02       Impact factor: 4.434

4.  Ciprofloxacin resistance and gonorrhea incidence rates in 17 cities, United States, 1991-2006.

Authors:  Harrell W Chesson; Robert D Kirkcaldy; Thomas L Gift; Kwame Owusu-Edusei; Hillard S Weinstock
Journal:  Emerg Infect Dis       Date:  2014-04       Impact factor: 6.883

5.  The impact of antimicrobials on gonococcal evolution.

Authors:  Leonor Sánchez-Busó; Daniel Golparian; Jukka Corander; Yonatan H Grad; Makoto Ohnishi; Rebecca Flemming; Julian Parkhill; Stephen D Bentley; Magnus Unemo; Simon R Harris
Journal:  Nat Microbiol       Date:  2019-07-29       Impact factor: 17.745

  5 in total

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