Simulating SARS: Agentbased Epidemiological Modelling with Social Network Approach

1
Simulating SARSAgent-based Epidemiological
Modelling with Social Network Approach
Student Chung-Yuan Huang ?????
Advisor Chuen-Tsai Sun ???????
We propose a small-world network model that
combines cellular automata with the social mirror
identities of daily-contact networks for purposes
of performing epidemic simulations. The social
mirror identity concept was established to
integrate human long-distance movement and daily
visits to fixed locations. Specifically, the
model was used to a) simulate the SARS
transmission dynamics in Singapore, Taipei, and
Toronto and b) discuss the effectiveness of the
respective public health policies. The model can
be applied to influenza and other epidemic
diseases according to the various needs of health
authorities.
Simulating SARS with CASMIM
Comparing Simulation Results with Taipei Cases
Social Mirror Identity Concept
Analyzing Temperature Measurement Policies
Cellular Automata with Social Mirror Identity
Model
Assessing Public Health Suites