Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
"Corona Virus Outbreak: Analysis and Prediction", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.637 - 646, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207090.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator