Literature DB >> 12671548

Impact of mass treatment on syphilis transmission: a mathematical modeling approach.

Babak Pourbohloul1, Michael L Rekart, Robert C Brunham.   

Abstract

BACKGROUND: Since 1997 Vancouver (British Columbia, Canada) has experienced an outbreak of heterosexually transmitted infectious syphilis, which prompted a mass treatment campaign in early 2000 in an attempt to control the disease. By 1 year postintervention, syphilis cases had rebounded significantly. We investigate the cause of this postintervention rebound. GOAL: We argue that the observed rebound postintervention may have been the result of the natural dynamics of disease transmission in an open population, in response to the partial application of mass treatment in the sexually active subgroup. STUDY
DESIGN: We used a mathematical model that describes the transmission dynamics of syphilis in a population.
RESULTS: The observed postintervention rebound is related to the mass treatment intervention.
CONCLUSION: Our results suggest that mass treatment may not be an optimal strategy to control the transmission of syphilis if complete coverage of high-frequency transmitters cannot be achieved and if population mobility is relatively high.

Entities:  

Mesh:

Year:  2003        PMID: 12671548     DOI: 10.1097/00007435-200304000-00005

Source DB:  PubMed          Journal:  Sex Transm Dis        ISSN: 0148-5717            Impact factor:   2.830


  11 in total

1.  Incorporating a social networking approach to enhance contact tracing in a heterosexual outbreak of syphilis.

Authors:  G Ogilvie; L Knowles; E Wong; D Taylor; J Tigchelaar; C Brunt; L James; J Maginley; H Jones; M L Rekart
Journal:  Sex Transm Infect       Date:  2005-04       Impact factor: 3.519

2.  Sexually transmitted diseases in the USA: temporal trends.

Authors:  Sevgi O Aral; Kevin A Fenton; King K Holmes
Journal:  Sex Transm Infect       Date:  2007-07       Impact factor: 3.519

3.  Sexually transmitted infections in Canada: A sticky situation.

Authors:  David N Fisman; Kevin B Laupland
Journal:  Can J Infect Dis Med Microbiol       Date:  2011       Impact factor: 2.471

4.  Syphilis transmission: a review of the current evidence.

Authors:  Juliet E Stoltey; Stephanie E Cohen
Journal:  Sex Health       Date:  2015-04       Impact factor: 2.706

5.  Contribution of high risk groups' unmet needs may be underestimated in epidemic models without risk turnover: A mechanistic modelling analysis.

Authors:  Jesse Knight; Stefan D Baral; Sheree Schwartz; Linwei Wang; Huiting Ma; Katherine Young; Harry Hausler; Sharmistha Mishra
Journal:  Infect Dis Model       Date:  2020-08-01

6.  Screen more or screen more often? Using mathematical models to inform syphilis control strategies.

Authors:  Ashleigh R Tuite; David N Fisman; Sharmistha Mishra
Journal:  BMC Public Health       Date:  2013-06-24       Impact factor: 3.295

7.  Syphilis in China: the great comeback.

Authors:  T Hesketh; Xj Ye; Wx Zhu
Journal:  Emerg Health Threats J       Date:  2008-06-20

8.  The impact of syphilis screening among female sex workers in China: a modelling study.

Authors:  Kate M Mitchell; Andrew P Cox; David Mabey; Joseph D Tucker; Rosanna W Peeling; Peter Vickerman
Journal:  PLoS One       Date:  2013-01-30       Impact factor: 3.240

9.  Modeling control strategies of respiratory pathogens.

Authors:  Babak Pourbohloul; Lauren Ancel Meyers; Danuta M Skowronski; Mel Krajden; David M Patrick; Robert C Brunham
Journal:  Emerg Infect Dis       Date:  2005-08       Impact factor: 6.883

10.  What could re-infection tell us about R0? A modeling case-study of syphilis transmission.

Authors:  Joshua Feldman; Sharmistha Mishra
Journal:  Infect Dis Model       Date:  2019-09-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.