Covid-19 Research

Research Article

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Omicron Waves of the COVID-19 Pandemic and Efficacy of Vaccinations and Testing

Medicine Group    Start Submission

Igor Nesteruk* and Oleksii Rodionov

Dates: Received: 2022-05-16 | Accepted: 2022-05-23 | Published: 2022-05-24
Pages: 588-594


The sharp increase in the number of new COVID-19 cases in late 2021 and early 2022, which occurred even in countries with high vaccination levels, has raised the question about the possibility of overcoming the pandemic only through vaccination. Averaged daily numbers of new COVID-19 cases and deaths per capita and their ratio were used to find links with the percentages of fully vaccinated people and boosters and the tests per case ratio. The datasets for European and some other countries and regions corresponding to February 01, 2022 were used. Simple linear and non-linear statistical methods showed that vaccinations can significantly reduce the likelihood of deaths and the increase in the tests per case ratio diminishes the number of infections. These conclusions are consistent with the previous study based on the data from September 01, 2021 (before the advent of the Omicron). However, the numbers of new daily Omicron cases per capita increase with the increase of the percentage of fully vaccinated people and boosters. It looks that removal of restrictions on the movement of vaccinated persons and the abolition of many quarantine restrictions have led to a sharp increase in the number of infections. To overcome the pandemic, the increase of the tests per case ratio and extension of quarantine restrictions are necessary.

FullText HTML FullText PDF DOI: 10.37871/jbres1484

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© 2022 Nesteruk I, et al. Distributed under Creative Commons CC-BY 4.0

How to cite this article

Nesteruk I, Rodionov O. Omicron Waves of the COVID-19 Pandemic and Efficacy of Vaccinations and Testing. J Biomed Res Environ Sci. 2022 May 24; 3(5): 588-594. doi: 10.37871/jbres1484, Article ID: JBRES1484, Available at:

Subject area(s)


  1. COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU).
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  3. 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.
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  6. Adebimpe WO, Adeoye OA. Knowledge and practice of vaccination logistics management among primary health care workers in Nigeria. Hum Vaccin Immunother. 2021 May 4;17(5):1490-1495. doi: 10.1080/21645515.2020.1827609. Epub 2020 Nov 11. PMID: 33175641; PMCID: PMC8078657.
  7. Sato R, Thompson A, Sani I, Metiboba L, Giwa A, Femi-Ojo O, Odezugo V. Effect of Vaccine Direct Delivery (VDD) on vaccine stockouts and number of vaccinations: Case study from Bauchi State, Nigeria. Vaccine. 2021 Mar 1;39(9):1445-1451. doi: 10.1016/j.vaccine.2021.01.037. Epub 2021 Feb 1. PMID: 33541796.
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  11. 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.
  12. Alemu T, Jemal A, Gashe F, Suleman S, Sudhakar S, Fekadu G. Integrated pharmaceutical logistics system implementation in selected health facilities of Ethiopia: The case of four WOLLEGA ZONES. Res Social Adm Pharm. 2021 May;17(5):956-968. doi: 10.1016/j.sapharm.2020.07.026. Epub 2020 Aug 6. PMID: 32847732.
  13. Draper NR, Smith H. Applied regression analysis. 3rd ed. John Wiley; 1998.
  14. 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. doi: 10.1007/978-981-33-6416-5_7.
  15. Nesteruk I. Epidemic waves caused by SARS-CoV-2 omicron (B.1.1.529) and pessimistic forecasts of the COVID-19 pandemic duration. MedComm (2020). 2022 Mar 9;3(1):e122. doi: 10.1002/mco2.122. PMID: 35281789; PMCID: PMC8906450.


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