  We present an epidemiological compartment model, SAIR(S), that explicitly
captures the dynamics of asymptomatic infected individuals in an epidemic
spread process. We first present a group model and then discuss networked
versions. We provide an investigation of equilibria and stability properties
for these models, and present simulation results illustrating the effects of
asymptomatic-infected individuals on the spread of the disease. We also discuss
local isolation effects on the epidemic dynamics in terms of the networked
models. Finally, we provide initial parameter estimation results based on
simple least-squares approaches and local test-site data.\par Keywords:
Epidemic dynamics, networks, data-informed modeling, stability analysis,
parameter estimation
