Covid-19 Research

Review Article

Impact of Vaccination and Testing Levels on the Dynamics of the COVID-19 Pandemic and its Cessation

Journal of Biomedical Research & Environmental Sciences article abstract with citation details, DOI, publication dates, subject areas, full text links, and references.

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Open Access
Article Type Review Article
Subject Medicine Group
OCLC 9382581209
Igor Nesteruk* and Oleksii Rodionov
Issue: Volume2-Issue11
Pages: 1141-1147
Received: 2021-10-29
Accepted: 2021-11-24
Published: 2021-11-25

Abstract

A simple statistical analysis of the accumulated and daily numbers of new COVID-19 cases and deaths per capita was performed with the use of recent datasets for European and some other countries and regions in order to find correlations with the testing and vaccination levels. It was shown that vaccination can significantly reduce the likelihood of deaths. However, existing vaccines do not prevent new infections. It looks that vaccinated individuals can spread the infection as intensely as unvaccinated ones and it is too early to lift quarantine restrictions in Europe and most other countries. The constant appearance of new cases due to re-infection increases the likelihood of new coronavirus strains, including very dangerous. As existing vaccines are not able to prevent this, it remains to increase the number of tests per registered case. If the critical value of the tests per case ratio (around 520) is exceeded, one can hope to stop the occurrence of new cases.

FullText HTML FullText PDF DOI: 10.37871/jbres1361 Crossmark

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© 2021 Nesteruk I, et al. Distributed under Creative Commons CC-BY 4.0 Creative CommonsAttribution

How to cite this article

Nesteruk I, Rodionov O. Impact of Vaccination and Testing Levels on the Dynamics of the COVID-19 Pandemic and its Cessation. J Biomed Res Environ Sci. 2021 Nov 23; 2(11): 1141-1147. doi: 10.37871/jbres1361, Article ID: JBRES1361, Available at: https://www.jelsciences.com/articles/jbres1361.pdf

Subject area(s)

Public HealthEpidemiology

References

  1. COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU).
  2. https://bit.ly/3FKlnh3
  3. Nesteruk I, Rodionov O. The impact of demographic factors on the accumulated number of COVID-19 cases per capita in Europe and the regions of Ukraine in the summer of 2021. medRxiv, July 2021. doi: 10.1101/2021.07.04.21259980.
  4. Nesteruk I, Rodionov O, Nikitin AV. The impact of seasonal factors on the COVID-19 pandemic waves. medRxiv, August 2021. doi: 10.1101/2021.08.06.21261665.
  5. Nesteruk I. Influence of Possible Natural and Artificial Collective Immunity on New COVID-19 Pandemic Waves in Ukraine and Israel. Explor Res Hypothesis Med. 2021. doi: 10.14218/ERHM.2021.00044.
  6. Nesteruk I. COVID-19 pandemic dynamics. Springer Nature. 2021. doi: 10.1007/978-981-33-6416-5.
  7. Nesteruk I. Visible and real sizes of new COVID-19 pandemic waves in Ukraine Innov Biosyst Bioeng. 2021;5(2):85-96. doi: 10.20535/ibb.2021.5.2.230487.
  8. Nesteruk I. Detections and SIR simulations of the COVID-19 pandemic waves in Ukraine. Comput Math Biophys. 2021;9:46-65. doi: 10.1515/cmb-2020-0117.
  9. Draper NR, Smith H. Applied regression analysis. 3rd ed. John Wiley; 1998.
  10. https://onlinepubs.trb.org/onlinepubs/nchrp/cd-22/manual/v2appendixc.pdf
  11. Nesteruk I. Comparison of the First Waves of the COVID-19 Pandemic in Different Countries and Regions. In book: COVID19 pandemic dynamics. Springer Nature, 2021.
  12. https://bit.ly/3DShN46
  13. https://time.com/6096807/denmark-covid-19/
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