Analysis of COVID-19 Disease With Careless Infective Using SEITRS Model

Abstract

The COVID-19 pandemic has had a significant impact on the global population, with millions of cases and deaths reported worldwide. In this study, we use mathematical models to analyze the spread of the disease, with a focus on careless infective models. We develop and analyze mathematical models to understand the transmission dynamics of COVID-19, taking into account the impact of human behavior, such as the spread of the disease by individuals who are unaware that they are infected. Our results provide insights into the role of careless infective individuals in the spread of the disease and suggest the need for targeted interventions to reduce the impact of COVID-19 The results of this study contribute to a better understanding of the spread of COVID-19 and inform public health measures to control its transmission. © 2023 Asia Pacific Journal of Mathematics.