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Role of vaccine in fighting the variants of COVID-19

Author

Listed:
  • Wang, Jian
  • Jiang, Wenjing
  • Wu, Xinpei
  • Yang, Mengdie
  • Shao, Wei

Abstract

In this paper, we investigate the effectiveness of COVID-19 vaccination in controlling the infectivity and mortality of the SARS-CoV-2. Two major variants Delta and Omicron are investigated respectively. The main method used in the research is the multifractal detrended fluctuation analysis (MF-DFA). We use Δα as the evaluation of control effectiveness. In the transmission stages of Delta and Omicron, we observe whether Δα shows a downward trend by gradually expanding the length of time series. Vaccine effectiveness is evaluated using a time series of newly diagnosed patients and newly reported deaths. Data samples are taken from 9 different countries. According to the obtained results, the vaccine controls infectivity and mortality of the virus in the Delta transmission stage, but infectivity control is less effective than mortality. In the Omicron transmission stage, the immune effect of the vaccine is not obvious, which may be related to the high infectivity of Omicron. However, the vaccine is still effective in controlling mortality. We also find that the immune effect of vaccine on Omicron was lower than that of Delta. Finally, we observe that the immune effect of the vaccine in ‘Poland’ was abnormal. By analyzing the vaccination curve, we conclude that in ‘Poland’, when the growth rate of vaccination rate slowed down, the immune effect of the vaccine was very poor in terms of pathogenicity and lethality. Therefore, we suggest that all countries should continue to strengthen the vaccination rate. A higher or faster growth rate of vaccination rate will help control the infectivity and mortality rate, especially in the effectiveness of controlling mortality. Our research can be used to evaluate the effectiveness of vaccines for epidemic prevention and control, the formulation of epidemic prevention measures and vaccination policies for different countries with respect to their current pandemic situation accordingly.

Suggested Citation

  • Wang, Jian & Jiang, Wenjing & Wu, Xinpei & Yang, Mengdie & Shao, Wei, 2023. "Role of vaccine in fighting the variants of COVID-19," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
  • Handle: RePEc:eee:chsofr:v:168:y:2023:i:c:s0960077923000607
    DOI: 10.1016/j.chaos.2023.113159
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    as
    1. Stanisław Drożdż & Rafał Kowalski & Paweł Oświȩcimka & Rafał Rak & Robert Gȩbarowski, 2018. "Dynamical Variety of Shapes in Financial Multifractality," Complexity, Hindawi, vol. 2018, pages 1-13, September.
    2. Diament, Sean M. & Kaya, Ayse & Magenheim, Ellen B., 2022. "Frames that matter: Increasing the willingness to get the Covid-19 vaccines," Social Science & Medicine, Elsevier, vol. 292(C).
    3. Lahmiri, Salim, 2017. "Multifractal analysis of Moroccan family business stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 183-191.
    4. Stanislaw Drozdz & Jaroslaw Kwapien & Pawel Oswiecimka & Rafal Rak, 2009. "Quantitative features of multifractal subtleties in time series," Papers 0907.2866, arXiv.org, revised Feb 2010.
    5. Wei-Xing Zhou, 2009. "The components of empirical multifractality in financial returns," Papers 0908.1089, arXiv.org, revised Oct 2009.
    6. Gao, Xing-Lu & Shao, Ying-Hui & Yang, Yan-Hong & Zhou, Wei-Xing, 2022. "Do the global grain spot markets exhibit multifractal nature?," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    7. Cajueiro, Daniel O. & Gogas, Periklis & Tabak, Benjamin M., 2009. "Does financial market liberalization increase the degree of market efficiency? The case of the Athens stock exchange," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 50-57, March.
    8. Delphine Planas & David Veyer & Artem Baidaliuk & Isabelle Staropoli & Florence Guivel-Benhassine & Maaran Michael Rajah & Cyril Planchais & Françoise Porrot & Nicolas Robillard & Julien Puech & Matth, 2021. "Reduced sensitivity of SARS-CoV-2 variant Delta to antibody neutralization," Nature, Nature, vol. 596(7871), pages 276-280, August.
    9. Stanis{l}aw Dro.zd.z & Rafa{l} Kowalski & Pawe{l} O'swic{e}cimka & Rafa{l} Rak & Robert Gc{e}barowski, 2018. "Dynamical variety of shapes in financial multifractality," Papers 1809.06728, arXiv.org.
    10. Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Pawe{l} O'swik{e}cimka & Tomasz Stanisz & Marcin Wk{a}torek, 2020. "Complexity in economic and social systems: cryptocurrency market at around COVID-19," Papers 2009.10030, arXiv.org.
    11. Ning, Ye & Wang, Yiming & Su, Chi-wei, 2017. "How did China’s foreign exchange reform affect the efficiency of foreign exchange market?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 219-226.
    12. Delphine Planas & Nell Saunders & Piet Maes & Florence Guivel-Benhassine & Cyril Planchais & Julian Buchrieser & William-Henry Bolland & Françoise Porrot & Isabelle Staropoli & Frederic Lemoine & Hélè, 2022. "Considerable escape of SARS-CoV-2 Omicron to antibody neutralization," Nature, Nature, vol. 602(7898), pages 671-675, February.
    13. Wang, Jian & Shao, Wei & Kim, Junseok, 2020. "Analysis of the impact of COVID-19 on the correlations between crude oil and agricultural futures," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
    14. Kantelhardt, Jan W. & Zschiegner, Stephan A. & Koscielny-Bunde, Eva & Havlin, Shlomo & Bunde, Armin & Stanley, H.Eugene, 2002. "Multifractal detrended fluctuation analysis of nonstationary time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 87-114.
    15. Mallika Snyder & Diego Alburez-Gutierrez & Iván Williams & Emilio Zagheni, 2022. "Estimates from 11 countries show the significant impact of COVID-19 excess mortality on the incidence of family bereavement," MPIDR Working Papers WP-2022-010, Max Planck Institute for Demographic Research, Rostock, Germany.
    16. Gao-Feng Gu & Wei-Xing Zhou, 2010. "Detrending moving average algorithm for multifractals," Papers 1005.0877, arXiv.org, revised Jun 2010.
    17. Jack H. Buckner & Gerardo Chowell & Michael R. Springborn, 2021. "Dynamic prioritization of COVID-19 vaccines when social distancing is limited for essential workers," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(16), pages 2025786118-, April.
    18. Plamen Ch. Ivanov & Luís A. Nunes Amaral & Ary L. Goldberger & Shlomo Havlin & Michael G. Rosenblum & Zbigniew R. Struzik & H. Eugene Stanley, 1999. "Multifractality in human heartbeat dynamics," Nature, Nature, vol. 399(6735), pages 461-465, June.
    19. Shao, Wei & Wang, Jian, 2020. "Does the “ice-breaking” of South and North Korea affect the South Korean financial market?," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
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