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A cellular automata model of Ebola virus dynamics

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  • Burkhead, Emily
  • Hawkins, Jane

Abstract

We construct a stochastic cellular automaton (SCA) model for the spread of the Ebola virus (EBOV). We make substantial modifications to an existing SCA model used for HIV, introduced by others and studied by the authors. We give a rigorous analysis of the similarities between models due to the spread of virus and the typical immune response to it, and the differences which reflect the drastically different timing of the course of EBOV. We demonstrate output from the model and compare it with clinical data.

Suggested Citation

  • Burkhead, Emily & Hawkins, Jane, 2015. "A cellular automata model of Ebola virus dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 424-435.
    • Handle: RePEc:eee:phsmap:v:438:y:2015:i:c:p:424-435
    DOI: 10.1016/j.physa.2015.06.049
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    References listed on IDEAS

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    1. González, Ramón E.R. & Coutinho, Sérgio & Zorzenon dos Santos, Rita Maria & de Figueirêdo, Pedro Hugo, 2013. "Dynamics of the HIV infection under antiretroviral therapy: A cellular automata approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4701-4716.
    2. González, Ramón E.R. & de Figueirêdo, Pedro Hugo & Coutinho, Sérgio, 2013. "Cellular automata approach for the dynamics of HIV infection under antiretroviral therapies: The role of the virus diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4717-4725.
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    Cited by:

    1. Jiří Kroc & Francisco Jiménez-Morales & J. L. Guisado & María Carmen Lemos & Jakub Tkáč, 2019. "Building Efficient Computational Cellular Automata Models Of Complex Systems: Background, Applications, Results, Software, And Pathologies," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-38, August.

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