Coronavirus Spreading Forecasts Based on Susceptible-Infectious-Recovered and Linear Regression Model

Abstract

An epidemiced environment is an occurrence of disease that spreads rapidly and disturbs many persons at the same time. Well, transmission of viruses is a big problem of today’s era. Environmental conditions and habits of people are somehow responsible for the vulnerable conditions of the environment. In consequence, to find out the exact condition the study needs to know about the symptom of the person (like age, gender, current body temperature, dry cough duration, headache, and travel history). As per the study given by India today magazine, a very first case of coronavirus was found in Kerala’s Thrissur district in India on January 30 2020. Thus, after 4–5 days, another two cases were found in Kerala too. Therefore, the state government took action and put these 3 patients in Isolation. Accordingly, with these 3 patients, the government quarantined their contacted persons (around 3400) too, who were suspected of symptoms of the coronavirus. Thereby, after the isolation and quarantine period, 3 patients among all were discharged upon recovery. Therefore, in this way, this study has to focus and trying to visualize the impact of isolation and quarantine on the health of the patients.