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

Khan, Dost Muhammad; Ali, Muhammad; Iqbal, Nadeem; Khalil, Umair; Aljohani, Hassan M; Alharthi, Amirah Saeed; Afify, Ahmed Z

Khan, Dost Muhammad; Ali, Muhammad; Iqbal, Nadeem; Khalil, Umair; Aljohani, Hassan M; Alharthi, Amirah Saeed; Afify, Ahmed Z.

Afiliación

Khan DM; Department of Statistics, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Ali M; Department of Statistics, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Iqbal N; Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Khalil U; Division of Computer Science, Mathematics and Science, St John's University, New York, NY, United States.
Aljohani HM; Department of Statistics, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Alharthi AS; Department of Mathematics & Statistics, College of Science, Taif University, Taif, Saudi Arabia.
Afify AZ; Department of Mathematics & Statistics, College of Science, Taif University, Taif, Saudi Arabia.

Front Public Health ; 10: 922795, 2022.

Article en En | MEDLINE | ID: mdl-35968475

Asunto(s)

COVID-19; COVID-19/epidemiología; Predicción; Humanos; Modelos Teóricos; Pandemias; Estaciones del Año

Palabras clave

ARIMA; COVID-19; augmented Dicky-Fuller test; ensemble empirical mode decomposition; error trend seasonal model; prediction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Front Public Health Año: 2022 Tipo del documento: Article País de afiliación: Pakistán

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