2017

S. Engblom and S. Widgren: Data-driven computational disease spread modeling: from measurement to parametrisation and control

• Chapter 11 in Disease Modelling and Public Health, Part A, Volume 36 of Handbook of Statistics, (doi).
• DiVA record.

S. Engblom: Stability and Strong Convergence for Spatial Stochastic Kinetics

• Chapter 3.3 in Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology, (doi).
• DiVA record.

S. Engblom, A. Hellander, P. Lötstedt: Multiscale Simulation of Stochastic Reaction-Diffusion Networks

• Chapter 2.4 in Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology, (doi).
• DiVA record.

G. Christoffersson, J. Lomei, P. O’Callaghan, J. Kreuger, S. Engblom, and M. Phillipson: Vascular sprouts induce local attraction of proangiogenic neutrophils

• In J. Leukocyte Biol. 102(3):741–751, (2017): (doi).
• DiVA record.

J. Lindén, P. Bauer, S. Engblom, B. Jonsson: Exposing inter-process information for efficient parallel discrete event simulation of spatial stochastic system

• In Proceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM PADS ‘17, pages 53–64, (2017): (doi).
• DiVA record.

A. Senek and S. Engblom: Multiscale Stochastic Neuron Modeling - with Applications in Deep Brain Stimulation (Wip)

• In Proceedings of the Summer Simulation Multi-Conference, Summer-Sim ‘17, pages p. 38:1–38:5 (2017): (ACM URL) * DiVA record.

P. Bauer, S. Engblom: The URDME Manual version 1.3

• Technical report: (abstract), (pdf)
• Available via arXiv.
• Download URDME 1.3 at www.urdme.org.