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ORCIDSake J. De Vlas
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Journal Articles
- 2021
[j6]Federica Gugole
, Luc E. Coffeng, Wouter Edeling, Benjamin Sanderse, Sake J. De Vlas, Daan Crommelin:
Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model. PLoS Comput. Biol. 17(9) (2021)- 2017
- [j5]Luc E. Coffeng, Cornelus Hermsen, Robert W. Sauerwein, Sake J. De Vlas:
The Power of Malaria Vaccine Trials Using Controlled Human Malaria Infection. PLoS Comput. Biol. 13(1) (2017) - 2016
- [j4]Harwin de Vries, Albert P. M. Wagelmans, Epco Hasker, Crispin Lumbala, Pascal Lutumba, Sake J. De Vlas, Joris van de Klundert:
Forecasting Human African Trypanosomiasis Prevalences from Population Screening Data Using Continuous Time Models. PLoS Comput. Biol. 12(9) (2016) - 2014
- [j3]Nico J. D. Nagelkerke, Paul Arora, Prabhat Jha, Brian Williams, Lyle McKinnon, Sake J. De Vlas:
The Rise and Fall of HIV in High-Prevalence Countries: A Challenge for Mathematical Modeling. PLoS Comput. Biol. 10(3) (2014) - 2008
- [j2]Egil A. J. Fischer, Sake J. De Vlas, Jan Hendrik Richardus, J. Dik F. Habbema:
MUSIDH, multiple use of simulated demographic histories, a novel method to reduce computation time in microsimulation models of infectious diseases. Comput. Methods Programs Biomed. 91(3): 185-190 (2008) - 1998
- [j1]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:
STDSIM: A Microsimulation Model for Decision Support in STD Control. Interfaces 28(3): 84-100 (1998)
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