IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v45y2025i4p435-458.html
   My bibliography  Save this article

Exponentially weighted moving average scheme with curtailment for detecting COVID-19 cases: a case study

Author

Listed:
  • Fathy Yassin Alkhatib
  • Salah Haridy
  • Ahmed Maged
  • Hamdi Bashir
  • Mohammad Shamsuzzaman

Abstract

The exponentially weighted moving average (EWMA) scheme has been commonly utilised to monitor shifts in infection rate p. In this research, an enhanced EWMA chart employing the curtailment technique (called Curt-EWMA chart) is used for detecting COVID-19 cases in airports. This chart can also be used for detecting infections associated with other respiratory viruses. The Curt-EWMA chart is able to improve detection effectiveness by minimising an overall performance measure, being the average number of infections (ANI), while maintaining a satisfactory false alarm rate. The utilisation of the ANI as an objective function provides the chart with a commendable detection effectiveness across a broad spectrum of shift sizes. A comparison between the Curt-EWMA and the traditional EWMA scheme is performed across multiple cases. The Curt-EWMA scheme is found to be 42% more effective than the traditional EWMA scheme in terms of ANI. The Curt-EWMA design is validated using a real-life case study in a major airport, where the results show a superiority of the Curt-EWMA scheme over the traditional EWMA by 20% in terms of ANI.

Suggested Citation

  • Fathy Yassin Alkhatib & Salah Haridy & Ahmed Maged & Hamdi Bashir & Mohammad Shamsuzzaman, 2025. "Exponentially weighted moving average scheme with curtailment for detecting COVID-19 cases: a case study," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 45(4), pages 435-458.
    • Handle: RePEc:ids:ijpqma:v:45:y:2025:i:4:p:435-458
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=148015
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:ids:ijpqma:v:45:y:2025:i:4:p:435-458. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=177 .

    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.