%0 Journal Article
%T Dynamic Multicore Processing for Pandemic Influenza Simulation
%A Armin Spreco
%A Einar Holm
%A Henrik Eriksson
%A Magnus Str£¿mgren
%A Toomas Timpka
%A £¿rjan Dahlstr£¿m
%J Archive of "AMIA Annual Symposium Proceedings".
%D 2016
%X Pandemic simulation is a useful tool for analyzing outbreaks and exploring the impact of variations in disease, population, and intervention models. Unfortunately, this type of simulation can be quite time-consuming especially for large models and significant outbreaks, which makes it difficult to run the simulations interactively and to use simulation for decision support during ongoing outbreaks. Improved run-time performance enables new applications of pandemic simulations, and can potentially allow decision makers to explore different scenarios and intervention effects
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333304/