P. Bauer, S. Engblom, and S. Widgren (2016) Fast event-based epidemiological simulations on national scales. International Journal of High Performance Computing Applications 30(4), 438-453. DOI: 10.1177/1094342016635723

S. Widgren, S. Engblom, P. Bauer, J. Frössling, U. Emanuelson, and A. Lindberg (2016) Data-driven network modeling of disease transmission using complete population movement data: Spread of VTEC O157 in Swedish cattle. Veterinary Research 47:81. DOI: 10.1186/s13567-016-0366-5

S. Widgren (2016) Studies on verotoxigenic Escherichia coli O157 in Swedish cattle: From sampling to disease spread modelling. Doctoral thesis, Department of Clinical Sciences, Swedish University of Agricultural Sciences, Sweden. http://pub.epsilon.slu.se/13821/

S. Widgren, P. Bauer, and S. Engblom (2016) SimInf: An R package for Data-driven Stochastic Disease Spread Simulations. The SimInf manual available via arXiv.

P. Bauer (2015) Parallelism and Efficiency in Discrete-Event Simulation. Licentiate thesis, Department of Information Technology, Uppsala University, Sweden. http://www.it.uu.se/research/publications/lic/2015-004/


Stefan Engblom, Data-driven Epidemiological Simulations: Verotoxigenic E. coli O157 at the workshop Mathematical Biology for Understanding Emerging Infectious Diseases at the Human-Animal-Environment Interface: a “One Health” Approach“, November 20–25 2016 in Banff, Canada. The lecture was video recorded mp4.

Stefan Widgren, “SimInf; an R-tool for data-driven modelling of disease spread and control” at the 14th ISVEE Conference - International Symposium on Veterinary Epidemiology and Economics, 6 November 2015 Merida, Mexico.

The SimInf software has been made possible by support from the Swedish Research Council within the UPMARC Linnaeus centre of Excellence (Pavol Bauer and Stefan Engblom), the Swedish Research Council Formas (Stefan Engblom and Stefan Widgren), and the Swedish Board of Agriculture (Stefan Widgren).