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Springer Science and Business Media LLC
Reference27 articles.
1. Abbasimehr H, Paki R, Bahrini A (2022) A novel approach based on combining deep learning models with statistical methods for covid-19 time series forecasting. Neural Comput Appl 1–15
2. Al-Qaness MA, Ewees AA, Fan H et al (2020) Optimization method for forecasting confirmed cases of covid-19 in china. J Clin Med 9(3):674
3. Anastassopoulou C, Russo L, Tsakris A et al (2020) Data-based analysis, modelling and forecasting of the covid-19 outbreak. PloS One 15(3):e0230405
4. Balak N, Inan D, Ganau M et al (2021) A simple mathematical tool to forecast covid-19 cumulative case numbers. Clin Epidemiology Glob Health 12(100):853
5. Busari S, Samson T (2022) Modelling and forecasting new cases of covid-19 in nigeria: Comparison of regression, arima and machine learning models. Sci Afr 18(e01):404