IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxiiiy2020ispecial3p82-98.html
   My bibliography  Save this article

The Use of Mathematical Models Describing the Spread of Covid-19 in Strategic State Security Management

Author

Listed:
  • Anna Borucka
  • Edward Kozlowski
  • Piotr Oleszczuk
  • Dariusz Mazurkiewicz

Abstract

Purpose: The security system of each country should be capable of identifying and eliminating potential threats. However, such events' variety and unpredictability make it impossible to be ready for each scenario, should one materialize. Situations posing a national security threat require that effective actions be undertaken, including risk prevention and mitigation of its effects. Decisions must be taken responsibly and competently. However, they also must be taken quickly, as time is a key factor in any emergency. Extreme caution must be exercised, as citizens' lives and health may depend on the strategic level decisions. Therefore, any instruments to support the decisions, enabling the best choices to be made, are very much desirable. Knowledge of the scale of the phenomenon and its evolution is particularly useful and important here. It is easier to fight an opponent knowing their strengths and potential. Design/Methodology/Approach: To know required, mathematical models may be constructed describing the phenomenon in question and its development over time. This paper presents and compares mathematical models describing the SARS-Cov-2 virus's evolution in four EU countries (Poland, Germany, Great Britain, and Italy). Findings: The ability to describe the evolution of the pandemic in mathematical terms and rely on the results of such modeling in strategic state security management. The results obtained were compared with the actions taken in the countries in question. Practical Implications: Furthermore, the importance of reliable information in making crucial decisions on the national level and achieving the appropriate degree of citizen security was emphasized.

Suggested Citation

  • Anna Borucka & Edward Kozlowski & Piotr Oleszczuk & Dariusz Mazurkiewicz, 2020. "The Use of Mathematical Models Describing the Spread of Covid-19 in Strategic State Security Management," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 82-98.
  • Handle: RePEc:ers:journl:v:xxiii:y:2020:i:special3:p:82-98
    as

    Download full text from publisher

    File URL: https://www.ersj.eu/journal/1855/download
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    SARS-Cov-2; strategic management; state security; crisis situations; mathematical modeling; pandemic.;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I19 - Health, Education, and Welfare - - Health - - - Other

    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:ers:journl:v:xxiii:y:2020:i:special3:p:82-98. 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.