Epidemics: Some Preliminary Results

Abstract

This chapter presents a novel model based on the operatorial approach for the spread of infections in a healthy population. The model efficiently describes the interactions between healthy and infected populations, and their transformation into recovered or deceased individuals. We apply our model to real situations, showing the efficacy of our method by analyzing Chinese data for SARS-2003 and COVID-19. Our model is in good agreement with the long-term behavior of the diseases, particularly in determining the number of infected and deceased individuals over time. Additionally, we demonstrate how the model can be easily adapted to account for lockdown measures, resulting in a drastic reduction of the number of infected individuals.