Social and Transmission Contact Network Analysis of Epidemic Dynamics in Agent-Based ModelsHuang, Jiawei (2012) Social and Transmission Contact Network Analysis of Epidemic Dynamics in Agent-Based Models. Master's Thesis, University of Pittsburgh. (Unpublished)
AbstractThis thesis aims to do social network analysis on synthetic population that is used in FRED system and develop transmission network analysis tools to analyze disease epidemic dynamics in agent-based models of infectious disease. The social network of synthetic Allegheny County population consists 1.2M agents. The synthetic population is proved to be an integrated component with average shortest path is 6.91. The risks of being infected for age groups are positively related to the average degree of each group. Although degree distribution has bifurcating pattern, it is still reasonable and conservative to use the synthetic population for modeling disease transmission. Tools are developed to analyze the transmission network, which generated by FRED simulations. Three tools, TraceAnalysis, StatisticalAnalysis and EpidemicDynamicPlot, were developed to calculate statistics of transmission networks, to make inference on statistics from different simulation scenarios and to plot epidemic curves. The tools are used to analyze the effectiveness of public policies. School closure and vaccination policies were chosen from FRED to be compared with the baseline FRED, which is run with no intervention policy. The results from network analysis tools indicate the dependency between agents' infection location. Special transmission patterns can be found by comparing the discrepancy between the number and expected number of transmission patterns. The public health importance of network analysis tools is to find out the contact tracing motifs, to reveal the strong dependency of locations where infection events happened and to compare the effectiveness of different public intervention policies in agent-based models. Share
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