Analysis of Covid-19 in India using mathematical modeling

Abstract

An infectious disease COVID-19 is caused by virus called coronavirus. The corona virus transmitted from individual to individual through droplets / contact. The first conformed case of India was on 30 January 2020 occurred in Kerala. As still no vaccine is available for controlling it so from initial stage government of India started different initiatives like lockdown, work from home, suspension of train services and international flights, implemented rules and regulation such as limiting the number of passengers in the vehicle, banning on social gathering to control on this virus. Ministry of Health and Family Welfare (MoHFW) was launched a nationwide training for front line health worker on COVID19. Hence the implication of the study becomes very crucial. In this paper the special case of India is considered from the initial period to October 2020. Based on available data, the analysis of this viruses is studied also the different cases of stability is checked by considering logistic growth in prey population. The parameter which used to study this case are predators, prey, time, prey’s growth rate, attack rate, predator or consumer mortality rate, conversion efficiency and maximum curing capacitive rate.