COVID-19 Predictions Using Regression Growth Model in Ireland and Israel

Authors

  • Wasim Raza Department of Mathematics, University of Sargodha, Pakistan
  • Dieky Adzkiya Department of Mathematics, Institute Teknologi Sepuluh Nophember, Surabaya, Indonesia
  • Subchan Subchan Department of Mathematics, Institute Teknologi Sepuluh Nophember, Surabaya, Indonesia
  • Saba Mehmood Departement of Mathematics, University of Thal Bhakkar, Pakistan.

DOI:

https://doi.org/10.31764/jtam.v6i4.10944

Keywords:

COVID-19, Regression growth model, Weibull function, Forecasting.

Abstract

The World Health Organization (WHO) asserted the recently discovered severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19, a pandemic on March 11, 2020. Since the genesis and growth mechanisms of this virus are unclear and impossible to detect, there are still many uncertainties concerning it and no vaccination or effective treatment. The main goal is to halt its global spread. This paper employed a regression growth model with an extended Weibull function on the dynamics of COVID-19 to make predictions about its spread. Our findings demonstrate the viability of using this model to forecast the spread of the virus. Using a logistic growth regression model, the note tabulates the COVID-19-related final epidemic sizes for a few sites, including Ireland and Israel.

Author Biographies

Wasim Raza, Department of Mathematics, University of Sargodha, Pakistan

Lecturer, Department of Mathematics, University of Sargodha, Bhakkar.

Dieky Adzkiya, Department of Mathematics, Institute Teknologi Sepuluh Nophember, Surabaya, Indonesia

Assistant Professor, Department of Mathematics, Institute Teknologi Sepuluh Nopember. Surabaya, Indonesia

Subchan Subchan, Department of Mathematics, Institute Teknologi Sepuluh Nophember, Surabaya, Indonesia

Assistant professor, Department of Mathematics, Institute Teknologi Sepuluh Nopember. Surabaya, Indonesia

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Published

2022-10-08

Issue

Vol. 6 No. 4 (2022): October

Section

Articles

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