Forecasting COVID19 parameters using time-series: KSA, USA, Spain, and Brazil comparative case study

Many countries are suffering from the COVID19 pandemic. The number of confirmed cases, recovered, and deaths are of concern to the countries having a high number of infected patients. Forecasting these parameters is a crucial way to control the spread of the disease and struggle with the pandemic. T...

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Bibliographic Details
Published in:Heliyon 2022-06, Vol.8 (6), p.e09578, Article e09578
Main Authors: Larabi-Marie-Sainte, Souad, Alhalawani, Sawsan, Shaheen, Sara, Almustafa, Khaled Mohamad, Saba, Tanzila, Khan, Fatima Nayer, Rehman, Amjad
Format: Article
Language:English
Subjects:
COVID-19
Drift
Exponential smoothing
Forecasting
Holt
Linear regression
Time-series
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Summary:Many countries are suffering from the COVID19 pandemic. The number of confirmed cases, recovered, and deaths are of concern to the countries having a high number of infected patients. Forecasting these parameters is a crucial way to control the spread of the disease and struggle with the pandemic. This study aimed at forecasting the number of cases and deaths in KSA using time-series and well-known statistical forecasting techniques including Exponential Smoothing and Linear Regression. The study is extended to forecast the number of cases in the main countries such that the US, Spain, and Brazil (having a large number of contamination) to validate the proposed models (Drift, SES, Holt, and ETS). The forecast results were validated using four evaluation measures. The results showed that the proposed ETS (resp. Drift) model is efficient to forecast the number of cases (resp. deaths). The comparison study, using the number of cases in KSA, showed that ETS (with RMSE reaching 18.44) outperforms the state-of-the art studies (with RMSE equal to 107.54). The proposed forecasting model can be used as a benchmark to tackle this pandemic in any country. COVID-19; Forecasting; Drift; Exponential smoothing; Holt; Linear regression; Time-series.
ISSN:2405-8440
2405-8440
DOI:10.1016/j.heliyon.2022.e09578