Short-Term Prediction of COVID-19 Using Novel Hybrid Ensemble Empirical Mode Decomposition and Error Trend Seasonal Model

• 主要な著者: Dost Muhammad Khan (著者), Muhammad Ali (著者), Nadeem Iqbal (著者), Umair Khalil (著者), Hassan M. Aljohani (著者), Amirah Saeed Alharthi (著者), Ahmed Z. Afify (著者)
• フォーマット: 図書
• 出版事項: Frontiers Media S.A., 2022-07-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

In this article, a new hybrid time series model is proposed to predict COVID-19 daily confirmed cases and deaths. Due to the variations and complexity in the data, it is very difficult to predict its future trajectory using linear time series or mathematical models. In this research article, a novel...