TY  - JOUR
ID  - pittir24652
UR  - http://d-scholarship-dev.library.pitt.edu/24652/
IS  - 1
A1  - Lukens, S
A1  - Depasse, J
A1  - Rosenfeld, R
A1  - Ghedin, E
A1  - Mochan, E
A1  - Brown, ST
A1  - Grefenstette, J
A1  - Burke, DS
A1  - Swigon, D
A1  - Clermont, G
Y1  - 2014/09/29/
N2  - Background: Agent based models (ABM) are useful to explore population-level scenarios of disease spread and containment, but typically characterize infected individuals using simplified models of infection and symptoms dynamics. Adding more realistic models of individual infections and symptoms may help to create more realistic population level epidemic dynamics.
JF  - BMC Public Health
VL  - 14
TI  - A large-scale immuno-epidemiological simulation of influenza A epidemics
AV  - public
ER  -