IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v33y2022i06ns0129183122500838.html
   My bibliography  Save this article

Dynamic analysis on the epidemic model of infectious diseases using a powerful computational method

Author

Listed:
  • S. Mohsenian

    (Department of Mechanical Engineering, University of Akron, Akron, OH, USA)

  • S. E. Ghasemi

    (��Department of Engineering Sciences, Hakim Sabzevari University, Sabzevar, Iran)

  • Sina Gouran

    (��School of Mechanical Engineering, Babol University of Technology, Babol, Iran)

  • Ali Zolfagharian

    (�School of Engineering, Deakin University, Geelong 3216, Australia)

Abstract

In this research, a convenient and effective semi-analytical technique namely the Differential Transformation Method (DTM) is employed to investigate the nonlinear epidemic model. The design of the mathematical model is explained according to five classifications of susceptible, exposed, infective, asymptomatic and recovered people. The corresponding solution points are validated against numerical outcomes. The results reveal a high degree of accuracy for DTM combination with Padé approximation. Moreover, this technique is a promising method to solve various nonlinear equations applicable for epidemic models. The results indicate that by increasing R parameter, the values of infected individuals are enhanced. Also, it can be concluded that increasing in γ parameter leads to increase of recovered profile.

Suggested Citation

  • S. Mohsenian & S. E. Ghasemi & Sina Gouran & Ali Zolfagharian, 2022. "Dynamic analysis on the epidemic model of infectious diseases using a powerful computational method," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 33(06), pages 1-17, June.
    • Handle: RePEc:wsi:ijmpcx:v:33:y:2022:i:06:n:s0129183122500838
    DOI: 10.1142/S0129183122500838
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183122500838
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0129183122500838?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijmpcx:v:33:y:2022:i:06:n:s0129183122500838. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.