A Mathematical Reflection of COVID-19 and Vaccination Acceptance in India

Authors

  • Jyoti Bhola Department of Mathematics, Hansraj College, University of Delhi, New Delhi, India
  • Ashutosh Yadav Department of Commerce, Hansraj College, University of Delhi, New Delhi, India
  • Ishita Srivastava Department of Mathematics, Hansraj College, University of Delhi, New Delhi, India
  • Utcarsh Mathur Department of Mathematics, Hansraj College, University of Delhi, New Delhi, India
  • Namrata Dewan Soni Department of Physics, Hansraj College, University of Delhi, New Delhi, India

DOI:

https://doi.org/10.21276/apjhs.2021.8.3.27

Keywords:

Co-morbidity, Coronavirus, Mathematical modeling, Vaccination

Abstract

This paper analyses the current progression of the coronavirus pandemic, with the help of a mathematical model based on differential equations. The model has been inspired by the standard SIR (Susceptible-Infected-Recovered) model in epidemiology. The model takes the effect of co-morbidities and vaccination into account. The susceptible population is split into healthy and co-morbid sub-compartments. A series of graphs is presented for the visual depiction of the situation at hand in the Indian context. Finally, a survey (carried out through an online questionnaire) based analysis of the perception of vaccination in the masses in general, and the medical community in particular, has also been presented.

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Published

2021-07-16

How to Cite

Jyoti Bhola, Ashutosh Yadav, Ishita Srivastava, Utcarsh Mathur, & Namrata Dewan Soni. (2021). A Mathematical Reflection of COVID-19 and Vaccination Acceptance in India. Asian Pacific Journal of Health Sciences, 8(3), 150–157. https://doi.org/10.21276/apjhs.2021.8.3.27