#PARTNER NOTI W POZNANIU VERIFICATION#
#PARTNER NOTI W POZNANIU TRIAL#

The primary outcome was the proportion of partners who attended the ANC and were treated for syphilis.īetween 20, 17130 pregnant women were screened 601 (3.5%) had a positive treponemal result, and 442 were enrolled in the study. Pregnant women with a positive point-of-care treponemal test at three antenatal clinics (ANCs) in Kampala, Uganda, were randomised 1:1:1 to receive either notification slips (NS standard of care), NS and a text messages (SMS) or NS and telephone calls. The aim of this study was to determine the effectiveness of three partner notification strategies. Testing and treatment of partners prevents reinfection, but strategies to improve partner attendance are failing. Registered on 26 August 2020īackground Maternal syphilis causes poor birth outcomes, including congenital syphilis.

#PARTNER NOTI W POZNANIU TRIAL#

Registered 26 August 2020 - Retrospectively registered.Ĭhinese Clinical Trial Registry, ChiCTR2000036988. This study also empowers MSM community in expanding syphilis testing by using their own social network.Ĭhinese Clinical Trial Registry, ChiCTR2000036988. The trial findings will provide practical implications in strengthening syphilis self-testing distribution and increasing syphilis testing uptake among MSM in China.

The primary outcome is the mean number of alters who returned verified syphilis testing results per index in each arm.

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Syphilis self-test results will be determined by photo verification via a digital platform. All indexes will complete a baseline survey and a 3-month follow-up survey. Indexes will distribute SST packages or referral links to encourage alters to receive syphilis testing. Three hundred MSM will be recruited and randomly assigned in a 1:1:1 ratio into three arms: standard of care (control arm) standard syphilis self-testing (SST) delivery arm and referral link SST delivery arm. Indexes will be eligible if they: are born biologically male aged 18 years or above ever had sex with another man are willing to distribute syphilis testing packages or referral links to their alters and willing to provide personal contact information for future follow-up. We describe a randomized controlled trial protocol to examine the effectiveness of social network distribution approaches of syphilis self-testing among MSM in China. However, in low- and middle-income countries like China, syphilis testing rates remain low among MSM. Increasing syphilis testing is important to syphilis control. Syphilis is a common sexually transmitted infection (STI) among men who have sex with men (MSM). Monte Carlo simulations are then employed to extend our analytical findings, casting lights on the role of the partner network and on partner notification as a control measure in the spread of STIs. Our results indicate that routine screening is key to the eradication of local outbreaks, while condom marketing campaigns become effective only when combined with screening.

We use a mean‐field approach to analytically derive the epidemic threshold in the limit of large‐scale populations, in the absence of a partner network, for two distinct negotiation processes. Finally, three control measures are included in the model: (i) condom (social) marketing campaigns, (ii) routine screening at STI clinics, and (iii) partner notification. Such a network accounts for regular partners and casual encounters, which are regulated by a negotiation process that accounts for the individuals' behavioral preferences. The disease spreads on a time‐varying network of sexual contacts, generated using a mechanism inspired by continuous‐time activity‐driven networks. Behavioral preferences evolve according to a nontrivial mechanism accounting for the cost of using protection, the perceived risk, and persuasive effects due to sexual encounters with different‐minded individuals. The model expands the standard susceptible–infected–susceptible model by incorporating asymptomatic infected individuals-who are unaware that they are posing a health threat to themselves and the population-and individuals' behavioral preferences with regard to the use of protective measures during encounters. In this article, we propose a stochastic network model for the spread of common sexually transmitted infections (STIs).

Partner noti w poznaniu