A large-scale immuno-epidemiological simulation of influenza A epidemics.

ABSTRACT:

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.

Methods

Using an equation-based, host-level mathematical model of influenza A virus infection, we develop a function that expresses the dependence of infectivity and symptoms of an infected individual on initial viral load, age, and viral strain phenotype. We incorporate this response function in a population-scale agent-based model of influenza A epidemic to create a hybrid multiscale modeling framework that reflect

SUBMITTER: Lukens S 

PROVIDER: S-EPMC4194421 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature