Publication: Assessing the drivers of syphilis among men who have sex with men in Switzerland reveals a key impact of screening frequency: A modelling study
Assessing the drivers of syphilis among men who have sex with men in Switzerland reveals a key impact of screening frequency: A modelling study
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Balakrishna, S., Salazar-Vizcaya, L., Schmidt, A. J., Kachalov, V., Kusejko, K., Thurnheer, M. C., Roth, J. A., Nicca, D., Cavassini, M., Battegay, M., Schmid, P., Bernasconi, E., Günthard, H. F., Rauch, A., Kouyos, R. D., & Swiss HIV Cohort Study. (2021). Assessing the drivers of syphilis among men who have sex with men in Switzerland reveals a key impact of screening frequency: A modelling study. PLoS Computational Biology, 17, e1009529. https://doi.org/10.1371/journal.pcbi.1009529
Abstract
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Abstract
Over the last decade, syphilis diagnoses among men-who-have-sex-with-men (MSM) have strongly increased in Europe. Understanding the drivers of the ongoing epidemic may aid to curb transmissions. In order to identify the drivers of syphilis transmission in MSM in Switzerland between 2006 and 2017 as well as the effect of potential interventions, we set up an epidemiological model stratified by syphilis stage, HIV-diagnosis, and behavioral factors to account for syphilis infectiousness and risk for transmission. In the main model, we us
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Creators (Authors)
- Balakrishna, Suraj
- Salazar-Vizcaya, Luisa
- Schmidt, Axel J
- Kachalov, Viacheslav
- Kusejko, Katharina
- Thurnheer, Maria Christine
- Roth, Jan A
- Nicca, Dunja
- Cavassini, Matthias
- Battegay, Manuel
- Schmid, Patrick
- Bernasconi, Enos
- Günthard, Huldrych F
- Rauch, Andri
- Kouyos, Roger D
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Balakrishna, S., Salazar-Vizcaya, L., Schmidt, A. J., Kachalov, V., Kusejko, K., Thurnheer, M. C., Roth, J. A., Nicca, D., Cavassini, M., Battegay, M., Schmid, P., Bernasconi, E., Günthard, H. F., Rauch, A., Kouyos, R. D., & Swiss HIV Cohort Study. (2021). Assessing the drivers of syphilis among men who have sex with men in Switzerland reveals a key impact of screening frequency: A modelling study. PLoS Computational Biology, 17, e1009529. https://doi.org/10.1371/journal.pcbi.1009529
