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标题：Do Vaccinations, Despite Mutations, End The Coronavirus Crisis
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作者：Lamiaa A. Amar ; Marwa Y. Mohamed
期刊名称：Webology
印刷版ISSN：1735-188X
出版年度：2022
卷号：19
期号：3
页码：2911-2926
语种：English
出版社：University of Tehran
摘要：The coronavirus disease was announced in 2019 as a pandemic. Despite the wised measures taken by a Governments and herd immunity, many waves of the virus and its mutants continued to brutally confront the world. There has been no misgiving that vaccination is the only or most influential method of combating it, as happened before in many epidemics such as measles, smallpox, and cholera. So governments and the World Health Organization have sought to make vaccines to confront the virus and approved in less than a year. This rapid vaccine development endeavor raised several concerns regarding the vaccines’ effectiveness and safety. Since there is not sufficient, time to conduct sufficient clinical studies about vaccines. There are important questions the vaccinations not affect or will this damn virus ever end? We developed regression with a 7th-degree polynomial and offered case studies from 10 nations to back up our conclusions. The countries are the USA, Spain, Qatar, France, Brazil, Colombia, India, Russia, Kuwait, and Egypt. We fitted a model for every country by comparing the number of cases before vaccination and after vaccination for 8 weeks approximately. Our prediction in this article is based on the data sets given by the World Health Organization. Using machine learning is proved that vaccination cuts down on the number of diseased people and deaths despite the mutations by applying the models to many countries. We are concluding with further development for the domain of the proposed model.
关键词：Covid 19;regression model;machine learning;vaccine;omicron