ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
Low Cost₹599 / $45
CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Corona Virus Outbreak: Analysis and Prediction
Authors
LAKSHAY GOEL , Prashant Kumar , Tavish Gautam , Prof. Akash Surywanshi , Dr. Sandeep Vanjale
Keywords
Covid-19, Prediction, Dataset, Confirmed Cases, Death Cases, Recovered Cases, Epidemic, Python, Machine Learning
Abstract
The Covid-19 pandemic which has affected more than 228 countries/territories infected more than million persons and consumed more than 548 million human lives. Since 2019 whole world had undergone several lockdowns. But that thing didn’t work as expected and wrath of deadly virus still continued. The vaccination seems to be the robust solution for ending this situation. However vaccinating the whole world is still a challenging task. This paper basically analyzes how the Covid-19 virus spread all over the world and how it rapidly got increased in different countries/provinces and which country suffered the most with loss of its valuable asset as Human life. Based on the SVM and Regression algorithm, Death counts for all over the world is predicted for specific period and based on Machine learning techniques complete analysis is done. In the end comparison of Covid-19 is also done with similar epidemics on the basis of Confirmed Cases, Death Cases and Mortality Rate.
Full Paper, Downloads & Preview
How To Cite
Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.
IJRTI — journal style
"Corona Virus Outbreak: Analysis and Prediction", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.7, Issue 7, page no.637 - 646, July-2022, Available :https://ijrti.org/papers/IJRTI2207090.pdf
APA — 7th edition
GOEL, L., Kumar, P., Gautam, T., Surywanshi, A., & Vanjale, S. (2022). Corona Virus Outbreak: Analysis and Prediction. International Journal for Research Trends and Innovation, 7(7), 637 - 646. https://ijrti.org/viewpaperforall.php?paper=IJRTI2207090
MLA — 9th edition
GOEL, LAKSHAY, et al. "Corona Virus Outbreak: Analysis and Prediction." International Journal for Research Trends and Innovation, vol. 7, no. 7, 2022, pp. 637 - 646, https://ijrti.org/viewpaperforall.php?paper=IJRTI2207090.
Chicago — 17th, bibliography
GOEL, LAKSHAY, et al. "Corona Virus Outbreak: Analysis and Prediction." International Journal for Research Trends and Innovation 7, no. 7 (2022): 637 - 646. https://ijrti.org/viewpaperforall.php?paper=IJRTI2207090.
Harvard — author–date
GOEL, L. et al. (2022) 'Corona Virus Outbreak: Analysis and Prediction', International Journal for Research Trends and Innovation, 7(7), pp. 637 - 646. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2207090
IEEE — numbered reference
L. GOEL, P. Kumar, T. Gautam, A. Surywanshi and S. Vanjale, "Corona Virus Outbreak: Analysis and Prediction," IJRTI, vol. 7, no. 7, pp. 637 - 646, Jul. 2022.
Vancouver — biomedical
GOEL L, Kumar P, Gautam T, Surywanshi A, Vanjale S. Corona Virus Outbreak: Analysis and Prediction. IJRTI. 2022 Jul;7(7):637 - 646.
AMA — 11th edition
GOEL L, Kumar P, Gautam T, Surywanshi A, Vanjale S. Corona Virus Outbreak: Analysis and Prediction. IJRTI. 2022;7(7):637 - 646. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2207090
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2207090,
author = {LAKSHAY GOEL and Prashant Kumar and Tavish Gautam and Akash Surywanshi and Sandeep Vanjale},
title = {Corona Virus Outbreak: Analysis and Prediction},
journal = {International Journal for Research Trends and Innovation},
volume = {7},
number = {7},
pages = {637 - 646},
year = {2022},
month = {July},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2207090}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - GOEL, LAKSHAY
AU - Kumar, Prashant
AU - Gautam, Tavish
AU - Surywanshi, Akash
AU - Vanjale, Sandeep
TI - Corona Virus Outbreak: Analysis and Prediction
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 7
IS - 7
PY - 2022
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2207090
SP - 637
EP - 646
ER -
Issue
Volume 7 Issue 7,
July-2022
Pages : 637 - 646
Other Publication Details
Paper Reg. ID
IJRTI_183056
Published Paper ID
IJRTI2207090
Downloads
205,632
Research Area
Engineering
Country
Meerut, Uttar Pradesh, India
Published
July 2022
Published Paper PDF
https://ijrti.org/papers/IJRTI2207090.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2207090
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
UGC CARE Approved Journal — Transparent Peer-reviewed journal aligned with UGC’s 2025 suggestive parameters, with CrossRef DOI registration and Scopus Standard metadata on every published paper.
Licence
© 2022 — Authors hold the copyright of this article.
This work is licensed under a
Creative Commons Attribution 4.0 International License
and The Open Definition.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0),
which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Disclaimer:
The content, data and findings in this article are based on the authors’ research and have been
peer-reviewed for academic purposes only. Readers are advised to verify all information before practical
or commercial use. The journal and its editorial board are not liable for any errors, losses or
consequences arising from its use.
Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
