Application of Waning Immunity Index Model using Spiking Neural Networks for COVID-19 Pandemic in the geographic context of India

Spiking Neural Networks (SNN) are biologically inspired networks working on the principle of communication triggered while crossing of threshold potentials. During the COVID-19 pandemic, immunity has been acquired by the population in a geographical location by infections and immunizations. The Waning Immunity Model (WII) has been used to apply the method of SNNs so that the results of the model provide a better way of understanding its effects. The dataset considered in this research is for a time period of six months during the years of 2021 and 2022 focusing on the geographical location of India. Based on the proposed new model, the spike in the WII index is clearly evident in the first half of the time period under consideration, This model will help the healthcare and governments officials to plan for the booster doses to be administered to the human population for reinvigorating the antibodies effectively fighting the COVID-19 virus.