IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v8y2025i3p1855-1864id6894.html
   My bibliography  Save this article

Measuring susceptibility, infection, and recovery during the COVID-19 outbreak in Cambodia

Author

Listed:
  • Siphat Lim
  • Matthew Richard Leigh

Abstract

The SIR model is considered one of the most popular mathematical models used to measure the development of the COVID-19 pandemic. Three pieces of basic information susceptibility, infection, and recovery rates were needed to incorporate into the model's estimation parameters. Daily data from February 20, 2021, to August 20, 2021, were applied to calculate two key parameters: the contraction rate and the recovery rate. The solution from the ordinary differential equations showed that the effective contact and recovery rates were 0.0461 and 0.0061, respectively. Using the two parameters for simulation, the infection of COVID-19 reached its peak on July 2, 2022. Among the four main strategies employed by the government curfew, lockdown, vaccination, and stringency index measured based on school and workplace closures; restrictions on public gatherings; transport restrictions; and stay-at-home requirements in controlling the spread of the COVID-19 disease, the lockdown strategy played the most important role in reducing the daily number of infections of the disease, followed by curfew, stringency index, and vaccination.

Suggested Citation

  • Siphat Lim & Matthew Richard Leigh, 2025. "Measuring susceptibility, infection, and recovery during the COVID-19 outbreak in Cambodia," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(3), pages 1855-1864.
    • Handle: RePEc:aac:ijirss:v:8:y:2025:i:3:p:1855-1864:id:6894
    as

    Download full text from publisher

    File URL: https://ijirss.com/index.php/ijirss/article/view/6894/1388
    Download Restriction: no
    ---><---

    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:aac:ijirss:v:8:y:2025:i:3:p:1855-1864:id:6894. 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: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    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.