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MOSES: A Matlab-based open-source stochastic epidemic simulator | IEEE Conference Publication | IEEE Xplore

MOSES: A Matlab-based open-source stochastic epidemic simulator

Publisher: IEEE

Abstract:

This paper presents an open-source stochastic epidemic simulator. Discrete Time Markov Chain based simulator is implemented in Matlab. The simulator capable of simulating...View more

Abstract:

This paper presents an open-source stochastic epidemic simulator. Discrete Time Markov Chain based simulator is implemented in Matlab. The simulator capable of simulating SEQIJR (susceptible, exposed, quarantined, infected, isolated and recovered) model can be reduced to simpler models by setting some of the parameters (transition probabilities) to zero. Similarly, it can be extended to more complicated models by editing the source code. It is designed to be used for testing different control algorithms to contain epidemics. The simulator is also designed to be compatible with a network based epidemic simulator and can be used in the network based scheme for the simulation of a node. Simulations show the capability of reproducing different epidemic model behaviors successfully in a computationally efficient manner.
Date of Conference: 16-20 August 2016
Date Added to IEEE Xplore: 18 October 2016
ISBN Information:

ISSN Information:

PubMed ID: 28268863
Publisher: IEEE
Conference Location: Orlando, FL, USA

References

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