A comparative study of SIR Model, Linear Regression, Logistic Function and ARIMA Model for forecasting COVID-19 cases

Starting February 2020, COVID-19 was confirmed in 11,946 people worldwide, with a mortality rate of almost 2%. A significant number of epidemic diseases consisting of human Coronavirus display patterns. In this study, with the benefit of data analytic, we develop regression models and a Susceptible-...

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Detalles Bibliográficos
Autores principales: Abolmaali, Saina, Shirzaei, Samira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AIMS Press 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568588/
https://www.ncbi.nlm.nih.gov/pubmed/34786422
http://dx.doi.org/10.3934/publichealth.2021048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568588/
https://www.ncbi.nlm.nih.gov/pubmed/34786422
http://dx.doi.org/10.3934/publichealth.2021048

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