Abstract
AbstractThis paper develops a new grey prediction model with quadratic polynomial term. Analytical expressions of the time response function and the restored values of the new model are derived by using grey model technique and mathematical tools. With observations of the confirmed cases, the death cases and the recovered cases from COVID-19 in China at the early stage, the proposed forecasting model is developed. The computational results demonstrate that the new model has higher precision than the other existing prediction models, which show the grey model has high accuracy in the forecasting of COVID-19.
Funder
This work did not receive any specific funding, and also was not performed as part of the employment of the authors.
Publisher
Springer Science and Business Media LLC
Reference36 articles.
1. WHO, WHO to Accelerate Research and Innovation for New Coronavirus, WHO, Geneva, Switzerland, 2020, https://www.who.int/news-room/detail/06-02-2020-who-to-accelerate-research-andinnovation-for-new-coronavirus.
2. Castillo, O. & Melin, P. Forecasting of COVID-19 time series for countries in the world based on a hybrid approach combining the fractal dimension and fuzzy logic. Chaos Solitons Fractals 140, 110242 (2020).
3. Chimmula, V. & Zhang, L. Time series forecasting of COVID-19 transmission in Canada using LSTM networks. Chaos Solitons Fractals 135, 109864 (2020).
4. Anastassopoulou, C., Russo, L., Tsakris, A. & Siettos, C. Data-based analysis, modelling and forecasting of the COVID-19 outbreak. PLoS ONE 15(3), 1–21 (2020).
5. Petropoulos, F. & Makridakis, S. Forecasting the novel coronavirus COVID-19. PLoS ONE 15(3), 1–8 (2020).
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