• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2021, Volume: 14, Issue: 35, Pages: 2773-2777

Original Article

The basic reproduction number and herd immunity for COVID-19 in India

Abstract

Objectives: To estimate the basic reproduction number and herd immunity in India relative to the viral disease COVID-19. Methods: In this study, we analyzed literature from March-2020 to January-2021, which were related to the basic reproduction number and herd immunity of COVID-19 in India. Also, we found the mean value of the basic reproduction number and herd immunity as a result. Findings: According to our study, the basic reproduction number and the percentage of the herd immunity ranged from 1.2561 to 3 and from 20% to 66%, respectively. The mean value of the basic reproduction number and the percentage of the herd immunity is 2.0546 and 51% respectively. Novelty: To the best of our knowledge, no such studies have been conducted in India.

Keywords: Basic reproduction number; Herd immunity; COVID19; Vaccination; Regression; etc

References

  1. Kermack WO, Mckendrick AG. Contributions to the mathematical theory of epidemics—II. The problem of endemicity. Bulletin of Mathematical Biology. 1991;53(1-2):57–87. Available from: https://doi.org/10.1007/bf02464424
  2. Levine-Tiefenbrun M, Yelin I, Katz R, Herzel E, Golan Z, Schreiber L, et al. Initial report of decreased SARS-CoV-2 viral load after inoculation with the BNT162b2 vaccine. Nature Medicine. 2021;27(5):790–792. doi: 10.1038/s41591-021-01316-7
  3. Balbas LAB, Conesa MG, Balbas BB, Jimenez AA, Caravaca GR. COVID-19 immunization threshold (s): an analysis. medRxiv. 2021. Available from: https://doi.org/10.1101/2021.01.02.20248596
  4. Kadkhoda K. Herd Immunity to COVID-19. American Journal of Clinical Pathology. 2021;155(4):471–472. doi: 10.1093/ajcp/aqaa272
  5. Zhu SS, Iboi E. 2021. Available from: https://doi.org/10.1101/2021.03.25.21254362
  6. Ives AR, Bozzuto C. Estimating and explaining the spread of COVID-19 at the county level in the USA. Communications Biology. 2021;4(1):60. Available from: https://doi.org/10.1038/s42003-020-01609-6
  7. Di Gennaro F, Murri R, Segala FV, Cerruti L, Abdulle A, Saracino A, et al. Attitudes towards Anti-SARS-CoV2 Vaccination among Healthcare Workers: Results from a National Survey in Italy. Viruses. 2021;13(3):371. doi: 10.3390/v13030371
  8. John TJ, Samuel R. Herd immunity and herd effect: new insights and definitions. Eur J Epidemiol. 2000;16(7):601–607. doi: 10.1023/a:1007626510002
  9. Samui P, Mondal J, Khajanchi S. A mathematical model for COVID-19 transmission dynamics with a case study of India. Chaos, Solitons & Fractals. 2020;140:110173. doi: 10.1016/j.chaos.2020.110173
  10. Pandey G. JMIR Publications Inc.. 2020. Available from: https://arxiv.org/abs/2004.00958
  11. Rajendrakumar AL, Nair ATN, Nangia C, Chourasia PK, Chourasia MK, Syed MG, et al. Epidemic Landscape and Forecasting of SARS-CoV-2 in India. Journal of Epidemiology and Global Health. 2020;11(1):55. doi: 10.2991/jegh.k.200823.001
  12. Marimuthu S, Joy M, Malavika B, Nadaraj A, Asirvatham ES, Jeyaseelan L. Modelling of reproduction number for COVID-19 in India and high incidence states. Clinical Epidemiology and Global Health. 2021;9:57–61. doi: 10.1016/j.cegh.2020.06.012
  13. Patrikar SR, Kotwal A, Bhatti VK, Banerjee A, Chatterjee K, Kunte R, et al. Incubation Period and Reproduction Number for novel coronavirus (COVID-19) infections in India. MedRxiv. 2020. Available from: https://doi.org/10.1101/2020.06.27.20141424
  14. Ray D, Bhattacharyya, Rupam, Wang, Lili, Mohammed, et al. Predictions, Role of Interventions and Effects of a Historic National Lockdown in India's Response to the the COVID-19 Pandemic: Data Science Call to Arms. Harvard Data Science Review. 2020;2020(Suppl 1). Available from: https://doi.org/10.1162/99608f92.60e08ed5
  15. Tiwari A. Modelling and analysis of COVID-19 epidemic in India. Journal of Safety Science and Resilience. 2020;1(2):135–140. doi: 10.1016/j.jnlssr.2020.11.005
  16. Gupta M, Mohanta SS, Rao A, Parameswaran GG, Agarwal M, Arora M, et al. Transmission dynamics of the COVID-19 epidemic in India and modeling optimal lockdown exit strategies. International Journal of Infectious Diseases. 2021;103:579–589. doi: 10.1016/j.ijid.2020.11.206
  17. Khan SF. Herd Immunity in India: A Review. European Journal of Medical and Health Sciences. 2021;3(1):18–21. doi: 10.24018/ejmed.2021.3.1.671
  18. Chatterjee K, Chatterjee K, Kumar A, Shankar S. Healthcare impact of COVID-19 epidemic in India: A stochastic mathematical model. Medical Journal Armed Forces India. 2020;76(2):147–155. doi: 10.1016/j.mjafi.2020.03.022
  19. Bhola J, Venkateswaran VR, Koul M. Corona Epidemic in Indian context: Predictive Mathematical Modelling. MedRxiv. 2020. Available from: https://doi.org/10.1101/2020.04.03.20047175

Copyright

© 2021 Soni et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)

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