Title :
Global Stochastic Contact Modeling of Infectious Diseases
Author :
Mikler, Armin R. ; Bravo-Salgado, Angel ; Corley, Courtney D.
Author_Institution :
Dept of Comput. Sci. & Eng., Univ. of North Texas Denton, Denton, TX, USA
Abstract :
Computational modeling of infectious diseases enable intelligent Public Health decisions to reduce the impact from epidemic outbreaks, either natural or intentional. In this paper, we outline a modeling paradigm, referred to as the Global Stochastic Contact Model (GSCM), which is a hybrid approach combining agent-based modeling and stochastic simulation, utilizing information on regional demographics, geography, disease specific parameters, and social behavioral factors.
Keywords :
bioinformatics; diseases; software agents; agent-based modeling; computational modeling; geography; global stochastic contact modeling; infectious diseases; public health decision; regional demographics; social behavioral factors; stochastic simulation; Diseases; Stochastic processes; Computational Epidemiology; Public Health; Simulation;
Conference_Titel :
Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3739-9
DOI :
10.1109/IJCBS.2009.84
