IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v337y2024i3d10.1007_s10479-023-05409-z.html

Some searches may not work properly. We apologize for the inconvenience.

   My bibliography  Save this article

Infectious diseases and social distancing under state-dependent probabilities

Author

Listed:
  • Davide La Torre

    (SKEMA Business School and Université Côte d’Azur)

  • Simone Marsiglio

    (University of Pisa)

  • Fabio Privileggi

    (University of Turin)

Abstract

We analyze the implications of infectious diseases and social distancing in an extended SIS framework to allow for the presence of stochastic shocks with state dependent probabilities. Random shocks give rise to the diffusion of a new strain of the disease which affects both the number of infectives and the average biological characteristics of the pathogen causing the disease. The probability of such shock realizations changes with the level of disease prevalence and we analyze how the properties of the state-dependent probability function affect the long run epidemiological outcome which is characterized by an invariant probability distribution supported on a range of positive prevalence levels. We show that social distancing reduces the size of the support of the steady state distribution decreasing thus the variability of disease prevalence, but in so doing it also shifts the support rightward allowing eventually for more infectives than in an uncontrolled framework. Nevertheless, social distancing is an effective control measure since it concentrates most of the mass of the distribution toward the lower extreme of its support.

Suggested Citation

  • Davide La Torre & Simone Marsiglio & Fabio Privileggi, 2024. "Infectious diseases and social distancing under state-dependent probabilities," Annals of Operations Research, Springer, vol. 337(3), pages 993-1008, June.
  • Handle: RePEc:spr:annopr:v:337:y:2024:i:3:d:10.1007_s10479-023-05409-z
    DOI: 10.1007/s10479-023-05409-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-023-05409-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-023-05409-z?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.

    More about this item

    Keywords

    Economic epidemiology; Social distancing; State-dependent probability;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General

    Statistics

    Access and download statistics

    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:spr:annopr:v:337:y:2024:i:3:d:10.1007_s10479-023-05409-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.