SARIMA Model Forecasting Performance of the COVID-19 Daily Statistics in Thailand during the Omicron Variant Epidemic

This study aims to identify and evaluate a robust and replicable public health predictive model that can be applied to the COVID-19 time-series dataset, and to compare the model performance after performing the 7-day, 14-day, and 28-day forecast interval. The seasonal autoregressive integrated movin...

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Detalles Bibliográficos
Autores principales: Duangchaemkarn, Khanita, Boonchieng, Waraporn, Wiwatanadate, Phongtape, Chouvatut, Varin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324558/
https://www.ncbi.nlm.nih.gov/pubmed/35885836
http://dx.doi.org/10.3390/healthcare10071310

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324558/
https://www.ncbi.nlm.nih.gov/pubmed/35885836
http://dx.doi.org/10.3390/healthcare10071310

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