STDSIM: A Microsimulation Model for Decision Support in STD Control. - Catharina P. B. Van der Ploeg; Carina Van Vliet; Sake J. De Vlas; Jeckoniah O. Ndinya-Achola; Lieve Fransen; Gerrit J. van Oortmarssen; J. Dik F. Habbema (Interfaces, 1998)

MUSIDH, multiple use of simulated demographic histories, a novel method to reduce computation time in microsimulation models of infectious diseases. - Egil A. J. Fischer; Sake J. De Vlas; Jan Hendrik Richardus; J. Dik F. Habbema (Comput. Methods Programs Biomed., 2008)

The Rise and Fall of HIV in High-Prevalence Countries: A Challenge for Mathematical Modeling. - Nico J. D. Nagelkerke; Paul Arora; Prabhat Jha; Brian Williams 002; Lyle McKinnon; Sake J. De Vlas (PLoS Comput. Biol., 2014)

Forecasting Human African Trypanosomiasis Prevalences from Population Screening Data Using Continuous Time Models. - Harwin de Vries; Albert P. M. Wagelmans; Epco Hasker; Crispin Lumbala; Pascal Lutumba; Sake J. De Vlas; Joris van de Klundert (PLoS Comput. Biol., 2016)

The Power of Malaria Vaccine Trials Using Controlled Human Malaria Infection. - Luc E. Coffeng; Cornelus Hermsen; Robert W. Sauerwein; Sake J. De Vlas (PLoS Comput. Biol., 2017)

Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model. - Federica Gugole; Luc E. Coffeng; Wouter Edeling; Benjamin Sanderse; Sake J. De Vlas; Daan Crommelin (PLoS Comput. Biol., 2021)