Published on in Vol 2, No 1 (2021): Jan-Mar
Preprints (earlier versions) of this paper are
available at
https://www.medrxiv.org/content/10.1101/2020.05.24.20111872v1, first published
.
Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis
Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis
Journals
- . Peer Review of “Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis”. JMIRx Med 2021;2(1):e28679 View
- Alharbi N. Author’s Responses to Peer Reviews of “Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis”. JMIRx Med 2021;2(1):e28742 View
- . Peer Review of “Forecasting the COVID-19 Pandemic in Saudi Arabia Using a Modified Singular Spectrum Analysis Approach: Model Development and Data Analysis”. JMIRx Med 2021;2(1):e28741 View
- Ali Almazroi A, Sher Afgun Usmani R. COVID-19 Cases Prediction in Saudi Arabia Using Tree-based Ensemble Models. Intelligent Automation & Soft Computing 2022;32(1):389 View
- Zhao Z, Zhai M, Li G, Gao X, Song W, Wang X, Ren H, Cui Y, Qiao Y, Ren J, Chen L, Qiu L. Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, China. BMC Infectious Diseases 2023;23(1) View
- Al-Turaiki I, Almutlaq F, Alrasheed H, Alballa N. Empirical Evaluation of Alternative Time-Series Models for COVID-19 Forecasting in Saudi Arabia. International Journal of Environmental Research and Public Health 2021;18(16):8660 View
- Gökler S. Prediction of Covid-19 confirmed cases and deaths using hybrid support vector machine-Taguchi method. Computers & Industrial Engineering 2024;191:110103 View