REVIEW OF METHODS USED FOR COVID-19 TIME SERIES FORECASTING OF DAILY CASES, DEATHS CAUSED AND RECOVERED CASES
Main Article Content
Abstract
The COVID-19 has been declared as a global pandemic by WHO, it has been considered as the most hostile disease, impacting more than ninety percent countries of the world. This virus was started from a lone human being in Peoples Republic of China, it is now growing globally. Some of the studies predicted that this virus will hang about with us everlastingly. India as a second most crowded country in the world is also under threat. Consequently, it has become truly important to investigate the possible blow of COVID-19 in India and to forecast how it will act in the upcoming days. This paper deals with the literature review of the various research works done by researchers all over the world for use of mathematical and statistical method to predict the Covid-19 new case, death cases and recovered cases. The work presented here is an attempt to find the most suitable and accurate method to obtain the objective as stated above.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0 DEED).
You are free to:
- Share — copy and redistribute the material in any medium or format
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes .
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Rights of Authors
Authors retain the following rights:
1. Copyright and other proprietary rights relating to the article, such as patent rights,
2. the right to use the substance of the article in future works, including lectures and books,
3. the right to reproduce the article for own purposes, provided the copies are not offered for sale,
4. the right to self-archive the article.
How to Cite
