Long-Run Public Health Impact of Doxycycline Post-Exposure Prophylaxis and Behavioural Factors on Syphilis Transmission: A Modelling Study in Singapore and England
Wang, Z.; Nikitin, D.; Dickens, B.; Wee, L. E.; Chio, M. T. W.; Tan, R. K. J.; Ejima, K.; Wang, Y.; Fisman, D.; Whittles, L. K.; Lim, J. T.
Show abstract
Syphilis remains a significant global public health challenge, particularly among men who have sex with men (MSM). Although penicillin is highly effective for treatment, primary prevention strategies are limited. Recent trials indicate that doxycycline post-exposure prophylaxis (doxy-PEP) has high efficacy in reducing syphilis incidence among MSM; however, its long-run population-level impact, effects on transmission dynamics, and optimal prescribing strategies remain unclear, especially when accounting for real-world behavioural factors such as screening frequency, uptake, adherence, and discontinuation. To address this gap, we developed a behavioural transmission-dynamic model calibrated with Bayesian methods using epidemiological and sexual behavioural data from Singapore and England to characterize transmission dynamics in MSM, quantify the potential long-run public health impact, efficiency, and robustness of alternative doxy-PEP prescribing strategies across different settings (e.g., schools, clinics, age, and risk groups) under varying behavioural patterns and epidemiological settings. Over a 15-year horizon, targeting high-risk MSM at diagnosis emerged as the most efficient approach, averting an estimated 2.50 (0.68 - 5.94) cases per prescription (10000 [95% Credible Interval 1100 - 53200] total cases averted) in Singapore and 4.60 (2.12 - 7.79) cases per prescription (165000 [49300 - 503700]) in England. In contrast, broader strategies such as offering doxy-PEP to all MSM attending sexual health clinics could achieve greater overall reductions (up to 24700 [6800 - 93100] cases in Singapore and 279800 [109200 - 724000] in England), but with substantially lower efficiency, averting as few as 0.02 (0.00 - 0.23) and 0.04 (0.01 - 0.46) cases per prescription, respectively. These findings suggest that untargeted strategies could substantially reduce syphilis incidence but would do so at the cost of over-prescription, increased resource burden, and unnecessary antibiotic exposure. More importantly, our findings remain robust despite variations in behavioural factors and future scenarios. In summary, our results underscore that doxy-PEP prescribing approaches aligned with behavioural risk factors can maximise population-level impact and implementation efficiency, supporting more sustainable syphilis prevention among MSM.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Assessing the drivers of syphilis among men who have sex with men in Switzerland reveals a key impact of testing frequency: A modelling study 95%
- Quantifying epidemiological drivers of gambiense human African Trypanosomiasis across the Democratic Republic of Congo 94%
- Optimizing testing for COVID-19 in India 93%
Similar papers in this journal
- Targeted vaccination is effective for mpox clade Ib in England despite increased household transmission: predictions from a modelling study 94%
- Rural prioritization may increase the impact of COVID-19 vaccines in Sub-Saharan Africa due to ongoing internal migration: A modeling study 92%
- Potential impact, costs, and benefits of population-wide screening interventions for tuberculosis in Viet Nam: a mathematical modelling study 92%
Similar papers in this journal
- Health impact and cost-effectiveness of COVID-19 vaccination in Sindh Province, Pakistan 90%
- Trends in HIV self-testing uptake in Africa: a modeling study of population-based surveys and HIV testing program data 90%
- The Impact of Scaling up Dolutegravir on Antiretroviral Resistance in South Africa 90%
Similar papers in this journal
- Quantifying the potential value of antigen-detection rapid diagnostic tests for COVID-19: a modelling analysis 93%
- SARS-CoV-2 infection risk during delivery of childhood vaccination campaigns: a modelling study 92%
- Non-pharmaceutical interventions and vaccinating school children required to contain SARS-CoV-2 Delta variant outbreaks in Australia: a modelling analysis 91%
Similar papers in this journal
- Modelling trachoma post 2020: Opportunities for mitigating the impact of COVID-19 and accelerating progress towards elimination 94%
- Implications of the COVID-19 pandemic on eliminating trachoma as a public health problem 93%
- Disruptions to schistosomiasis programmes due to COVID-19: an analysis of potential impact and mitigation strategies 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.