COVID-19 Pandemic: ARIMA and Regression Model-Based Worldwide Death Cases Predictions

COVID-19 has now taken a frightening form. As the days pass, it is becoming more and more widespread and now it has become an epidemic. The death rate, which was earlier in the hundreds, changed to thousands and then progressed to millions. If the same situation persists over time, the day is not fa...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	SN computer science Jg. 1; H. 5; S. 288
Hauptverfasser:	Chaurasia, Vikas, Pal, Saurabh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Singapore 01.09.2020 Springer Nature B.V
Schlagworte:	Advances in Computational Approaches for Artificial Intelligence Autoregressive moving-average models Computer Imaging Computer Science Computer Systems Organization and Communication Networks Coronaviruses Correlation coefficients COVID-19 Data Structures and Information Theory Datasets Death Disease Image Processing, IoT and Cloud Applications Infections Information Systems and Communication Service Medical research Mortality Original Research Pandemics Pattern Recognition and Graphics Pneumonia Regression models Root-mean-square errors Software Engineering/Programming and Operating Systems Statistical analysis Time series Viral diseases Vision Italy France China India COVID-19 Epidemic Breath Regression model Humanity RMSE ARIMA model
ISSN:	2662-995X, 2661-8907, 2661-8907
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!