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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

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Evaluation of State-Wise Epidemiological Outbreak of COVID-19 Cases In India by Data Analysis Approach to Forecast the Coronavirus Disease Pandemic

Sumana Sikdar, Pradyut Sarkar, Sibnath Kayal, ,
1 : Research Scholar, Department of Computer Science & Engineering, MAKAUT. Kalyani, West Bengal, India - 741249. 2 : Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology (MAKAUT), Kalyani, West Bengal, India - 741249. 3 : Department of Metallurgical Engineering, O. P. Jindal University (OPJU), Raigarh, Chhattisgarh, India - 496109

Data analysis is very sophisticated tool in recent coronavirus pandemic to find the trend of spreading pattern for controlling the infection. In this perspective, predictive analytics can be useful for data analysis to forecast the coronavirus pandemic. This paper presents the infection pattern of coronavirus disease, termed as COVID-19, in top seven states in India. Prophet Algorithm forecasting model was used to analyze state-wise spreading pattern of coronavirus disease with respect to confirmed, deaths and cured cases. This predictive model can be very helpful to government and healthcare communities to combat this deadly virus by initiating suitable actions to control its spread.

Sumana Sikdar,Pradyut Sarkar,Sibnath Kayal."Evaluation of State-Wise Epidemiological Outbreak of COVID-19 Cases In India by Data Analysis Approach to Forecast the Coronavirus Disease Pandemic". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.8, Issue 03,pp.50-56, March - 2021, URL :,

Keywords : COVID-19, Predictive analytics, Forecasting model, Prophet algorithm.

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