A Small-World Model for Epidemic Simulation
碩士 === 國立交通大學 === 資訊科學系所 === 92 === The author validates a new small world model consisting of cellular automata with mirror identities of daily-contact social networks for purposes of epidemiological simulations. The mirror identity concept was established to integrate human long-distance movement...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2004
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| Online Access: | http://ndltd.ncl.edu.tw/handle/90320597604454327511 |
| Summary: | 碩士 === 國立交通大學 === 資訊科學系所 === 92 === The author validates a new small world model consisting of cellular automata with mirror identities of daily-contact social networks for purposes of epidemiological simulations. The mirror identity concept was established to integrate human long-distance movement and daily visits to fixed locations into the model. After showing that the model is capable of displaying small-world effects (i.e., low degree of separation and relatively high degree of clustering) on a societal level, we offer proof of its ability to display R0 properties, which are considered central to epidemiological studies. A simulation of the 2003 SARS outbreak serves as our primary example of how the proposed model functions.
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