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Cellular automata modelling of hantarvirus infection

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  • Abdul Karim, Mohamad Faisal
  • Md Ismail, Ahmad Izani
  • Ching, Hoe Bee

Abstract

Hantaviruses are a group of viruses which have been identified as being responsible for the outbreak of diseases such as the hantavirus pulmonary syndrome. In an effort to understand the characteristics and dynamics of hantavirus infection, mathematical models based on differential equations have been developed and widely studied. However, such models neglect the local characteristics of the spreading process and do not include variable susceptibility of individuals. In this paper, we develop an alternative approach based on cellular automata to analyze and study the spatiotemporal patterns of hantavirus infection.

Suggested Citation

  • Abdul Karim, Mohamad Faisal & Md Ismail, Ahmad Izani & Ching, Hoe Bee, 2009. "Cellular automata modelling of hantarvirus infection," Chaos, Solitons & Fractals, Elsevier, vol. 41(5), pages 2847-2853.
    • Handle: RePEc:eee:chsofr:v:41:y:2009:i:5:p:2847-2853
    DOI: 10.1016/j.chaos.2008.10.029
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    References listed on IDEAS

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    1. V. M. Kenkre & L. Giuggioli & G. Abramson & G. Camelo-Neto, 2007. "Theory of hantavirus infection spread incorporating localized adult and itinerant juvenile mice," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 55(4), pages 461-470, February.
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    Cited by:

    1. Moghari, Somaye & Ghorani, Maryam, 2022. "A symbiosis between cellular automata and dynamic weighted multigraph with application on virus spread modeling," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).

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