A Novel Small-World Model: Using Social Mirror Identities for Epidemic Simulations
Journal
Simulation
Journal Volume
81
Journal Issue
10
Pages
671-699
Date Issued
2005
Date
2005
Author(s)
Abstract
The authors propose a small-world network model that combines cellular automata with the social mirror identities of daily-contact networks for purposes of performing epidemiological simulations. The social mirror identity concept was established to integrate human long-distance movement and daily visits to fixed locations. After showing that the model is capable of displaying such small-world effects as low degree of separation and relatively high degree of clustering on a societal level, the authors offer proof of its ability to display R 0 properties—considered central to all epidemiological studies. To test their model, they simulated the 2003 severe acute respiratory syndrome (SARS) outbreak. ? 2005, Sage Publications. All rights reserved.
Subjects
cellular automata; multiagent system; network-based epidemic simulations; public health policy; small-world network model; Social mirror identity
SDGs
Other Subjects
Automata theory; Epidemiology; Health care; Mathematical models; Multi agent systems; Public policy; Cellular automata; Network-based epidemic simulations; Novel small-world model; Public health policy; Social mirror identities; Computer simulation
Type
journal article
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