"Mathematical Model for Allocation of Vaccine to Early Mitigation of Pandemic COVID 19."

Main Article Content

Mamta, Dr. Savita Tiwari


Corona vaccination is the most effective technique for controlling the covid-19 pandemic. Given the size of a nation like India, a shortage of vaccine was also a significant issue in the early days. The current work used an optimization technique to develop a mathematical model for vaccination of various age groups. Mortality, symptomatic infection, non-ICU patient, and hospitalized patient are the four distinct models. In the case of vaccination, one might assert that it is 50% effective and has been shown to be a successful method of averting corona epidemics. The primary issue in the early days was how to run a successful immunization program. Allocating vaccines to various age groups proved to be another challenge. Vaccines were first distributed in India according to age categories. Following this, a large immunization effort was carried out. In the current work, this vaccine approach was investigated mathematically as a model.


Download data is not yet available.


Metrics Loading ...

Article Details

How to Cite
Mamta, Dr. Savita Tiwari. (2020). "Mathematical Model for Allocation of Vaccine to Early Mitigation of Pandemic COVID 19.". Turkish Journal of Computer and Mathematics Education (TURCOMAT), 11(3), 1046–1052. https://doi.org/10.17762/turcomat.v11i3.12537
Research Articles