Virus Spread Modeling and Simulation: A Behavioral Parameters Approach and Its Application to Covid-19

ICEIS: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS - VOL 1(2022)

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摘要
How a virus spread on a network is a really important topic and even more important is to classify the danger of a virus. With this goal in mind, we investigate the characteristics that define the most deadly virus. Moreover, we aim to provide a simplified discrete-time simulation, described by few parameters, as a straightforward alternative to more complex models of diseases diffusion. The simulation is used to model the spread of the infection, and the obtained results are then analyzed to understand how the virus' behavior varies by changing its characteristics and the network topology.
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关键词
Diffusion Process, Network Dynamics
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