time series forecasting
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A novel corona virus, COVID-19 is spreading across different countries in an alarming proportion and it has become a major threat to the existence of human community. With more than eight lakh death count within a very short span of seven months, this deadly virus has affected more than 24 million people across 213 countries and territories around the world. Time-series analysis, modeling and forecasting is an important research area that explores the hidden insights from larger set of time-bound data for arriving better decisions. In this work, data analysis on COVID-19 dataset is performed by comparing the top six populated countries in the world. The data used for the evaluation is taken for a time period from 22nd January 2020 to 23rd August 2020.A novel time-series forecasting approach based on Auto-regressive integrated moving average (ARIMA) model is also proposed. The results will help the researchers from medical and scientific community to gauge the trend of the disease spread and improvise containment strategies accordingly.


Author(s):  
Arunkumar P. M. ◽  
Lakshmana Kumar Ramasamy ◽  
Amala Jayanthi M.

A novel corona virus, COVID-19 is spreading across different countries in an alarming proportion and it has become a major threat to the existence of human community. With more than eight lakh death count within a very short span of seven months, this deadly virus has affected more than 24 million people across 213 countries and territories around the world. Time-series analysis, modeling and forecasting is an important research area that explores the hidden insights from larger set of time-bound data for arriving better decisions. In this work, data analysis on COVID-19 dataset is performed by comparing the top six populated countries in the world. The data used for the evaluation is taken for a time period from 22nd January 2020 to 23rd August 2020.A novel time-series forecasting approach based on Auto-regressive integrated moving average (ARIMA) model is also proposed. The results will help the researchers from medical and scientific community to gauge the trend of the disease spread and improvise containment strategies accordingly.


Author(s):  
Elena Martynova ◽  
Robert G. Moulder ◽  
Steven M. Boker

Author(s):  
Du Liang ◽  
Gao Ruobin ◽  
Ponnuthurai Nagaratnam Suganthan ◽  
David Z. W. Wang

2022 ◽  
Vol 202 ◽  
pp. 107584
Author(s):  
Stéfano Frizzo Stefenon ◽  
Matheus Henrique Dal Molin Ribeiro ◽  
Ademir Nied ◽  
Kin-Choong Yow ◽  
Viviana Cocco Mariani ◽  
...  

2022 ◽  
Vol 196 ◽  
pp. 1021-1027
Author(s):  
Kathleen C.M. de Carvalho ◽  
João Paulo Vicente ◽  
João Paulo Teixeira

IEEE Access ◽  
2022 ◽  
pp. 1-1
Author(s):  
Filipe Rodrigues de Souza Moreira ◽  
Filipe Alves Neto Verri ◽  
Takashi Yoneyama

2022 ◽  
Vol 70 (3) ◽  
pp. 4829-4845
Author(s):  
Mohammad Hadwan ◽  
Basheer M. Al-Maqaleh ◽  
Fuad N. Al-Badani ◽  
Rehan Ullah Khan ◽  
Mohammed A. Al-Hagery

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