Simulation of Intervention Strategies for Pandemic Influenza
Date Issued
2009
Date
2009
Author(s)
Shen, Bing-Jie
Abstract
Highly pathogenic influenza A viruses are life-threatening, and avian strains of influenza virus A (H5N1) become readily transmissible among humans. Computer simulations of large-scale stochastic models to investigate the spread of a pandemic strain of influenza virus have been constructed in various previous work, including nationwide demographic data, population features, and biological factors. In this thesis, besides speeding up the previous discrete event stochastic simulations, we further implement various intervention strategies efficiently and dynamically. These intervention strategies play an important role of pandemic influenza prevention and control. Various trials including containment and mitigation have been simulated for early stage of outbreak. Great precision to the status of each individual in each period can be traced, through the simulation process using only desktop computational resources. Flexibility and scalability of our system are considered for larger simulation scale and other human-to-human transmissible infectious diseases.
Subjects
simulation
infectious disease
influenza
intervention
SDGs
Type
thesis
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