A Study Of Pandemic Cases In South Africa Using ARIMA Model

  • Himanshu Bhatt
  • Manish Karamwar
  • Ragesh P.R
Keywords: South Africa, Pandemic, Infection, ARIMA Model, Root Mean Square Error.

Abstract

Inevitable wildlife habitat destruction, ecological disbalance, and increased human- wildlife interaction have increased the chances of zoonotic diseases spillover in the human population. In the current scenario, an effective and precise forecasting method is needed to control the spread of disease and make appropriate decisions. The present study uses the ARIMA model to forecast COVID-19 cases in South Africa. RMSE, ME, AIC, and BIC measures have been used to select the best- fitted ARIMA model. This model can also be used for other disease forecasting.

Author Biographies

Himanshu Bhatt

Department of Mathematics, University of Delhi, Delhi - 110007, INDIA. 

Manish Karamwar

Department of African Studies, Faculty of Social Sciences, University of Delhi, Delhi -110007, INDIA. 

Ragesh P.R

Department of Zoology, Zakir Husain Delhi College (University of Delhi), JLN Marg, Delhi - 110002, INDIA. 

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Published
2024-08-25
How to Cite
Himanshu Bhatt, Manish Karamwar, & Ragesh P.R. (2024). A Study Of Pandemic Cases In South Africa Using ARIMA Model. Revista Electronica De Veterinaria, 25(1), 919-924. https://doi.org/10.69980/redvet.v25i1.748
Section
Articles