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Immunochemistry & Immunopathology

ISSN: 2469-9756

Open Access

The Efficacy of the COVID-19 Vaccine against the Mutation of the Corona Virus

Abstract

Dodi Irwan Siregar*

The delta variant (B.1.617.2) was a variant of SARS-CoV-2, the virus that causes COVID-19; it has mutations in the gene encoding the SARSCoV- 2 spike protein. When a virus replicates or makes copies of itself, it sometimes changes a little bit. These changes are called “mutations.” A virus with one or several new mutations is referred to as a “variant” of the original virus. The more viruses circulate, the more they may change. These changes can occasionally result in a virus variant that is better adapted to its environment compared to the original virus. This process of changing and selection of successful variants is called “virus evolution.” Some mutations can lead to changes in a virus’s characteristics, such as altered transmission A COVID-19 vaccine is a vaccine intended to provide acquired immunity against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the virus that causes Coronavirus disease 2019 (COVID-19). Correlation is one of the analytical techniques in statistics that is used to find the relationship of how strong the relationship between two or more variables is quantitative. By using a linearity test where F arithmetic>F Tabel is 28, 9857462> 3.42, and then Ho is accepted. This means that multiple linear regression analysis can be used to predict complete vaccination for COVID-19 by analyzing COVID-19 mortality against and data confirmed COVID-19. Obtained the multiple linear regression equation is Y=4858167192-10004, 1797X1+5, 866348716X2, the relationship between the variables above is 0,825982 is the superior correlation. Where t1 arithmetic 1 Table=-7, 5828144<2.069, then Ho is accepted meaning, there is no significant effect partially between COVID-19 mortality and complete vaccination for COVID-19. t2 arithmetic ≤ t2 Table=0,74850696 ≤ 2.069, Ho accepted the meaning, there is no significant (significant) effect partially between data confirmed COVID-19 of complete vaccination for COVID-19.

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