Forecasting COVID-19 Cases Using Alpha-Sutte Indicator: A Comparison with Autoregressive Integrated Moving Average (ARIMA) Method

COVID-19 is a pandemic which has spread to more than 200 countries. Its high transmission rate makes it difficult to control. To date, no specific treatment has been found as a cure for the disease. Therefore, prediction of COVID-19 cases provides a useful insight to mitigate the disease. This study...

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Veröffentlicht in:	BioMed research international 2020, Vol.2020 (2020), p.1-11
Hauptverfasser:	Attanayake, A. M. C. H., Perera, S. S. N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Autoregressive models Brazil - epidemiology Computer simulation Coronaviruses COVID-19 COVID-19 - epidemiology Disease control Disease transmission Epidemics Female Forecasting Forecasts and trends Health Services Human Development Index Humans Incidence India - epidemiology Italy - epidemiology Male Methods Modelling Models, Statistical New Zealand - epidemiology Pakistan - epidemiology Pandemics Parameter estimation Predictions SARS-CoV-2 - pathogenicity Software South Africa - epidemiology Spain - epidemiology Statistical analysis Statistical models Statistics Time series
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