JP Journal of Biostatistics

The JP Journal of Biostatistics is a highly regarded open-access international journal indexed in the Emerging Sources Citation Index (ESCI). It focuses on the application of statistical theory and methods in resolving problems in biological, biomedical, and agricultural sciences. The journal encourages the submission of experimental papers that employ relevant algorithms and also welcomes survey articles in the fields of biostatistics and epidemiology.

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CLUSTERING OF COVID-19 VACCINES BY SARS-CoV-2 INFECTION LEVEL AFTER TWO VACCINATIONS

Authors

  • A. B. Kiladze

Keywords:

medical epidemiology, medical statistics, the novel coronavirus infection, vaccination, vaccines

DOI:

https://doi.org/10.17654/0973514323001

Abstract

Vaccination against COVID-19 is designed to provide herd immunity. However, there are cases of SARS-CoV-2 infection after vaccination. Using Python software, we calculated the number of SARS-CoV-2 infections per 100,000 adults after the first and second vaccinations as at July 23, 2021, conducted in St. Petersburg, Russian Federation. After the first vaccination with Gam-COVID-Vac (Sputnik V) vaccine, 544 infections were determined, and after the second vaccination - 1,643 cases. After the first vaccination with the EpiVacCorona vaccine, 1,600 infections were calculated, and after the second vaccination - 6,073 cases. After the first vaccination with CoviVac vaccine, 1,162 infections were determined, and after the second vaccination - 886 cases. Cluster analysis revealed the similarity of epidemiological indicators due to Gam-COVID-Vac and CoviVac vaccines, with EpiVacCorona vaccine isolated in a separate cluster, which is associated with significant differences in the calculated epidemiological parameters.

Received: November 3, 2022 
Accepted: December 13, 2022

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Published

2023-01-05

Issue

Vol. 23 No. 1 (2023)

Section

Articles

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How to Cite

CLUSTERING OF COVID-19 VACCINES BY SARS-CoV-2 INFECTION LEVEL AFTER TWO VACCINATIONS. (2023). JP Journal of Biostatistics, 23(1), 1-10. https://doi.org/10.17654/0973514323001

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