BACKGROUND: Reducing rates of partner change and increasing condom usage among gay men are obvious targets for potentially reducing syphilis transmission among gay men. METHODS: We developed an agent-based stochastic model to examine syphilis transmission among a population of gay men, representative of gay men in Australia. This model was used to explore the potential impact of changes in sexual behavior over 1 month, 3 month, and indefinite time frames on syphilis epidemics. RESULTS: Simulations of interventions showed that short-term reductions in rates of partner change and increased condom use would have negligible impact on the long-term trends of syphilis epidemics. If no interventions are introduced, then the model forecasts that the syphilis prevalence in the population could continue to rise, with an increase of 80% in the number of men infected with syphilis during the next decade. However, if changes in sexual behavior are maintained in the long-term, then syphilis epidemics can be mitigated. If condom use is sustained at 80% in partnerships that are HIV discordant or of unknown status, then the prevalence of syphilis is estimated to decrease by 9% over 10 years. Similarly, if partner acquisition rates decrease by 25%, then there will be a 22% reduction in syphilis prevalence. CONCLUSIONS: Interventions promoting partner reduction or increased condom use would be ineffective in the short-term, and would have limited prospects for success in the long-term unless very large changes in behavior are sustained. Complementary social research indicates that such long-term changes in behavior are unlikely to be adopted, and therefore other intervention strategies need to be developed to reduce syphilis among gay men.
BACKGROUND: Reducing rates of partner change and increasing condom usage among gay men are obvious targets for potentially reducing syphilis transmission among gay men. METHODS: We developed an agent-based stochastic model to examine syphilis transmission among a population of gay men, representative of gay men in Australia. This model was used to explore the potential impact of changes in sexual behavior over 1 month, 3 month, and indefinite time frames on syphilis epidemics. RESULTS: Simulations of interventions showed that short-term reductions in rates of partner change and increased condom use would have negligible impact on the long-term trends of syphilis epidemics. If no interventions are introduced, then the model forecasts that the syphilis prevalence in the population could continue to rise, with an increase of 80% in the number of men infected with syphilis during the next decade. However, if changes in sexual behavior are maintained in the long-term, then syphilis epidemics can be mitigated. If condom use is sustained at 80% in partnerships that are HIV discordant or of unknown status, then the prevalence of syphilis is estimated to decrease by 9% over 10 years. Similarly, if partner acquisition rates decrease by 25%, then there will be a 22% reduction in syphilis prevalence. CONCLUSIONS: Interventions promoting partner reduction or increased condom use would be ineffective in the short-term, and would have limited prospects for success in the long-term unless very large changes in behavior are sustained. Complementary social research indicates that such long-term changes in behavior are unlikely to be adopted, and therefore other intervention strategies need to be developed to reduce syphilis among gay men.
Authors: Louis MacGregor; Natasha K Martin; Christinah Mukandavire; Ford Hickson; Peter Weatherburn; Matthew Hickman; Peter Vickerman Journal: Int J Epidemiol Date: 2017-10-01 Impact factor: 7.196
Authors: Rebecca Guy; Carol El-Hayek; Christopher K Fairley; Handan Wand; Andrew Carr; Anna McNulty; Jenny Hoy; Christopher Bourne; John McAllister; B K Tee; David Baker; Norman Roth; Mark Stoove; Marcus Chen Journal: PLoS One Date: 2013-08-23 Impact factor: 3.240
Authors: Hayoung Park; Kelika A Konda; Chelsea P Roberts; Jorge L Maguiña; Segundo R Leon; Jesse L Clark; Thomas J Coates; Carlos F Caceres; Jeffrey D Klausner Journal: PLoS One Date: 2016-09-07 Impact factor: 3.240
Authors: Stefan Michael Scholz; Oliver Damm; Svenja Elkenkamp; Ulrich Marcus; Wolfgang Greiner; Axel Jeremias Schmidt Journal: PLoS One Date: 2019-02-14 Impact factor: 3.240