Literature DB >> 18718441

Is there any evidence that syphilis epidemics cycle?

Romulus Breban1, Virginie Supervie, Justin T Okano, Raffaele Vardavas, Sally Blower.   

Abstract

We re-examine the evidence behind the controversial hypothesis that syphilis epidemics cycle. We used the same methods (spectral analysis) used by the proponents of this hypothesis to reanalyse a longitudinal dataset provided by the US Centers for Disease Control and Prevention (CDC). We also analysed a longitudinal CDC mortality dataset. To investigate the theoretical results generated by the transmission model that was used to support the hypothesis, we simulated the model and predicted the expected dynamics of syphilis epidemics. By contrast with previous findings, we found that neither of the CDC's datasets provides compelling evidence that syphilis epidemics cycle, and the transmission model (if more reasonable parameter values are used) does not predict cycling behaviour. We explain the possible reasons for the previous proposal that syphilis epidemics cycle. Our findings imply that it is quite possible that the CDC could be successful in eliminating syphilis within the next few decades.

Mesh:

Year:  2008        PMID: 18718441     DOI: 10.1016/S1473-3099(08)70203-2

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  6 in total

1.  Temporal trends in syphilis and gonorrhea incidences in guangdong province, china.

Authors:  Nicholas X Tan; Grace X Tan; Li-Gang Yang; Bin Yang; Kimberly A Powers; Michael E Emch; Joseph D Tucker
Journal:  J Infect Dis       Date:  2013-09-16       Impact factor: 5.226

2.  Spectral analysis based on fast Fourier transformation (FFT) of surveillance data: the case of scarlet fever in China.

Authors:  T Zhang; M Yang; X Xiao; Z Feng; C Li; Z Zhou; Q Ren; X Li
Journal:  Epidemiol Infect       Date:  2013-06-10       Impact factor: 4.434

3.  Repeated Syphilis Episodes in HIV-Infected Men Who Have Sex With Men: A Multicenter Prospective Cohort Study on Risk Factors and the Potential Role of Syphilis Immunity.

Authors:  Jan A Roth; Fabian C Franzeck; Suraj Balakrishna; Stephan Lautenschlager; Maria Christine Thurnheer; Laurence Toutous Trellu; Matthias Cavassini; Pietro Vernazza; Enos Bernasconi; Dominique Braun; Roger D Kouyos; Manuel Battegay
Journal:  Open Forum Infect Dis       Date:  2020-01-12       Impact factor: 3.835

4.  Epidemic cycles driven by host behaviour.

Authors:  Benjamin M Althouse; Laurent Hébert-Dufresne
Journal:  J R Soc Interface       Date:  2014-10-06       Impact factor: 4.118

5.  Bursting endemic bubbles in an adaptive network.

Authors:  N Sherborne; K B Blyuss; I Z Kiss
Journal:  Phys Rev E       Date:  2018-04       Impact factor: 2.529

6.  Exploring How Epidemic Context Influences Syphilis Screening Impact: A Mathematical Modeling Study.

Authors:  Ashleigh R Tuite; Christian Testa; Minttu Rönn; Meghan Bellerose; Thomas Gift; Jessica Fridge; Lauren Molotnikov; Catherine Desmarais; Andrés Berruti; Nicolas Menzies; Yelena Malyuta; Katherine Hsu; Joshua A Salomon
Journal:  Sex Transm Dis       Date:  2020-12       Impact factor: 3.868

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.