A Mathematical Reflection of COVID-19 and Vaccination Acceptance in India
DOI:
https://doi.org/10.21276/apjhs.2021.8.3.27Keywords:
Co-morbidity, Coronavirus, Mathematical modeling, VaccinationAbstract
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.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Jyoti Bhola, Ashutosh Yadav, Ishita Srivastava, Utcarsh Mathur, Namrata Dewan Soni

This work is licensed under a Creative Commons Attribution 4.0 International License.
Asian Pacific Journal of Health Sciences applies the Creative Commons Attribution (CC-BY) license to published articles. Under this license, authors retain ownership of the copyright for their content, but they allow anyone to download, reuse, reprint, modify, distribute and/or copy the content as long as the original authors and source are cited. Appropriate attribution can be provided by simply citing the original article.