Analysis of Quarantine Norms and Their Healthcare Benefits for Covid-19

The corona virus, which causes COVID-19 disease, is constantly changing its genetic characteristics, and new variants of the virus are expected to occur as the virus spreads. New variants may become more difficult to stop. Numerous variants of the corona virus that causes COVID-19 are being tracked globally during this pandemic. To break the spread of this virus, people around the globe must practice some prevention methods; one of the most effective methods is to quarantine the infected population. This paper represents the effect of quarantine in India by analysing the mathematical model in the applicable timeframe. This model shows the spread of infection in India with contemporary norms of both restrictions of home quarantine and quarantine facilities provided by the government. We validate the model with the actual data, and statistics calculates the model’s accuracy is 91.4% with actual known data. By applying the rough set method to the known real data, we observe that the rough set supports the statistical interference of the data from the mathematical model. Also, this paper shows that the number of active cases in India decreases by applying stricter norms to both home quarantine and quarantine facilities provided by the government.