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IJSTR >> Volume 9 - Issue 8, August 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



“COVID-19” Forecast Using Time Series Methods

[Full Text]

 

AUTHOR(S)

Milind Talele, Dr. Rajashree Jain

 

KEYWORDS

Coronavirus, “COVID-19”, Day Level Forecasting, time series algorithms, Exponential Smoothing.

 

ABSTRACT

The coronavirus “COVID-19” pandemic spreading over the world. This paper presents three time series models, exponential smoothing, Prophet additive forecast and Holts forecast method on understanding predictive patterns from published data on the number of “COVID-19” infected with coronavirus in India. This paper objective to introduce a different effective time series method to predict “COVID-19” forecast. The paper presented “COVID-19” confirmed cases in India till 30 June 2020. The data set used was from the Ministry of Health & Family Welfare and COVID 19india published through kaggle. The simple exponential smoothing model was applied using the Tableau tool. Prophet additive forecast method applied using R language and Holt method used in SPSS tool.

 

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