Title :
Modeling and Simulating Influenza with Immune-B
Author :
Sheng-rong Zou ; Xiao-fei Yang ; Zi-jun Du ; Yang Jin
Author_Institution :
Coll. of Inf. Eng., Yangzhou Univ., Yangzhou, China
Abstract :
Influenza virus causes an acute, mostly self-limited, infection of the upper respiratory tract. Several aspects of influenza infections are still unresolved. Most of these unresolved aspects will require a quantitative analysis. As we enter the era of quantitative virology and immunology, a simple agent model of influenza infection has been introduced and presented in details. The proposed model has been simulated based on Immune-B environment. Our results show that effected T-cell dynamics in the first and second phases of infection correspond well to clinical data. The aim of this study was to develop a computational model of influenza infection and to simulate the natural history of the disease and to test predictive parameters of disease progression.
Keywords :
cellular biophysics; digital simulation; diseases; medical computing; Immune-B environment; T-cell dynamics; agent model; clinical data; computational model; disease progression predictive parameters; immunology; influenza infections; influenza modeling; influenza simulation; influenza virus; natural history; quantitative analysis; quantitative virology; upper respiratory tract; Information systems; Agent model; Immune system; Immune-B; Influenza;
Conference_Titel :
Web Information System and Application Conference (WISA), 2013 10th
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4799-3218-4
DOI :
10.1109/WISA.2013.51