SEIHR model for Indian COVID-19: trustworthiness of the government regulatory procedure for coronavirus aspects

R. Ramesh, G. Arul Joseph

Abstract


In this research paper the identification and large implementation of a powerful SARS-CoV-2 vaccine may prevent considerable illnesses and fatalities from COVID-19 while minimizing the negative effects associated with non-pharmaceutical treatments. We used an enhanced, age-structured SEIHR model with social interaction matrices to evaluate age-related vaccination allocation strategies in India. We used specific to the state age patterns and disease transmission ratios calculated from confirmed COVID-19 incident cases between July 1 and August 31, 2020. How vaccination distribution tactics that prioritize distinct age groups reduce mortality and morbidity relative to one another, and how these strategies combine with concurrent non-pharmaceutical treatments [24], were looked into through simulations. Because of the uncertainty surrounding the development of the COVID-19 vaccine, we modified the vaccination features in the modeling simulations. The biggest relative reduction in mortality was obtained by allocating COVID-19 vaccines to older populations (those over 60 years old), regardless of vaccination effectiveness, control methods, rollout velocity, or immunity dynamics. Compared to other evaluated strategies, preferential vaccination of this group typically resulted in bigger total symptomatic infections and more dramatic predictions of peak incidence. The overall plan success was significantly influenced by vaccination efficacy, immunity type, target coverage, and rollout pace. The relative mortality benefit compared to no vaccination was significantly impacted by the time necessary to achieve goal coverage. The results of our study back up worldwide guidelines for deciding on COVID-19 vaccination allocation for those over 65. As the frequency of vaccine distribution increased the relative discrepancies between allocation plans reduced. Vaccine allocation choices which are optimum will be determined according to vaccine characteristics, the strength of ongoing non-pharmaceutical medication, and specific to that area goals. In comparison to not having been vaccinated, there is a benefit.

Full Text: PDF

Published: 2024-03-04

How to Cite this Article:

R. Ramesh, G. Arul Joseph, SEIHR model for Indian COVID-19: trustworthiness of the government regulatory procedure for coronavirus aspects, Commun. Math. Biol. Neurosci., 2024 (2024), Article ID 24

Copyright © 2024 R. Ramesh, G. Arul Joseph. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Commun. Math. Biol. Neurosci.

ISSN 2052-2541

Editorial Office: office@scik.org

 

Copyright ©2024 CMBN