| Issue |
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01153 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/e3sconf/202343001153 | |
| Published online | 06 October 2023 | |
Predicting the Spread of the Corona Virus Disease Requires Analyzing Data from Cases across Multiple States in India
1 Dept. of CSE, KG Reddy College of Engineering & Technology, Hyderabad, Telangana, India.
2 Dept. of CSE-AI&ML, CMR Technical Campus, Kandlakoya, Hyderabad, Telangana, India
3,4 Dept. of CSE-Data Science, CMR Technical Campus, Kandlakoya, Hyderabad, Telangana, India
5 Professor, Department of Computer Science and Engineering, GRIET, Bachupally, Hyderabad, Telangana
6 Uttaranchal Instiiute of Technology, Uttaranchal University, Dehradun, 248007
* Corresponding author: gani1255@gmail.com
Data analysis is very sophisticated tool in recent corona virus 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 corona virus pandemic. This paper presents the infection pattern of corona virus disease, termed as COVID-19 in top seven states in India. Prophet Algorithm forecasting model was used to analyze state-wise spreading pattern of corona virus disease with respect to confirmed, deaths and cured cases. This predictive model can be very helpful to government and health care communities to combat this deadly virus by initiating suitable actions to control its spread.
Key words: COVID-19 / Predictive analytics / Forecasting model / Prophet Algorithm
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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