Reinfection by untreated partners of people treated for Chlamydia trachomatis and Neisseria gonorrhoeae: mathematical modelling study

被引:15
作者
Low, Nicola [1 ]
Heijne, Janneke Cornelia Maria [1 ,2 ]
Herzog, Sereina Annik [1 ,3 ]
Althaus, Christian Lorenz [1 ]
机构
[1] Univ Bern, Inst Social & Prevent Med ISPM, CH-3012 Bern, Switzerland
[2] Natl Inst Publ Hlth & Environm RIVM, Bilthoven, Netherlands
[3] Med Univ Graz, Inst Med Informat Stat & Documentat, Graz, Austria
基金
瑞士国家科学基金会;
关键词
TRANSMISSION; RISK; INFECTION; BEHAVIOR;
D O I
10.1136/sextrans-2013-051279
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Objectives Reinfection after treatment for Chlamydia trachomatis or Neisseria gonorrhoeae reduces the effect of control interventions. We explored the impact of delays in treatment of current partners on the expected probability of reinfection of index cases using a mathematical model. Methods We used previously reported parameter distributions to calculate the probability that index cases would be reinfected by their untreated partners. We then assumed different delays between index case and partner treatment to calculate the probabilities of reinfection. Results In the absence of partner treatment, the medians of the expected reinfection probabilities are 19.4% (IQR 9.2-31.6%) for C trachomatis and 12.5% (IQR 5.6-22.2%) for N gonorrhoeae. If all current partners receive treatment 3 days after the index case, the expected reinfection probabilities are 4.2% (IQR 2.1-6.9%) for C trachomatis and 5.5% (IQR 2.6-9.5%) for N gonorrhoeae. Conclusions Quicker partner referral and treatment can substantially reduce reinfection rates for C trachomatis and N gonorrhoeae by untreated partners. The formula we used to calculate reinfection rates can be used to inform the design of randomised controlled trials of novel partner notification technologies like accelerated partner therapy.
引用
收藏
页码:254 / 256
页数:3
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