IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v28y2017i04ns0129183117500516.html
   My bibliography  Save this article

On the modeling of epidemics under the influence of risk perception

Author

Listed:
  • S. De Lillo

    (Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli 1, 06123 Perugia, Italy2Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Italy)

  • G. Fioriti

    (Istituto Nazionale di Fisica Nucleare, Sezione di Perugia, Italy3Department of Mathematics and Computer Science Ulisse Dini, University of Florence, viale Morgagni 67/A, 50134 Florence, Italy)

  • M. L. Prioriello

    (Department of Mathematics and Computer Science, Eindhoven University of Technology, P. O. Box 513, 5600 MB Eindhoven, The Netherlands5Department of Mathematics, Physics and Computer Science, University of Modena and Reggio Emilia, via G. Campi 213/b, 41125 Modena, Italy)

Abstract

An epidemic spreading model is presented in the framework of the kinetic theory of active particles. The model is characterized by the influence of risk perception which can reduce the diffusion of infection. The evolution of the system is modeled through nonlinear interactions, whose output is described by stochastic games. The results of numerical simulations are discussed for different initial conditions.

Suggested Citation

  • S. De Lillo & G. Fioriti & M. L. Prioriello, 2017. "On the modeling of epidemics under the influence of risk perception," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(04), pages 1-16, April.
    • Handle: RePEc:wsi:ijmpcx:v:28:y:2017:i:04:n:s0129183117500516
    DOI: 10.1142/S0129183117500516
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183117500516
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0129183117500516?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. De Lillo, Silvana & Dolfin, Marina & Fioriti, Gioia, 2018. "“Follow the leader” learning dynamics on networks," Applied Mathematics and Computation, Elsevier, vol. 332(C), pages 316-328.

    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:28:y:2017:i:04:n:s0129183117500516. 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.