Search

• A dynamic model of infected population to estimate the propagation pattern of COVID -19 pandemics. • Provision of incorporating several influencing factors in proposed model such as inter and intra zone mobilization, detection rate etc. • Different remedial steps are applied as operating procedures to the model in both standalone and hybridized mode. • Flexibility of obtaining probable infected pattern of a particular region or country by proper tuning of the different coefficient of proposed model. • Validation of the model for three geographical locations within India with real world data. Most of the widely populated countries across the globe have been observing vicious spread and detrimental effects of pandemic COVID-19 since its inception on December 19. Therefore to restrict the spreading of pandemic COVID-19, various researches are going on in both medical and administrative sectors. The focus has been given in this research keeping an administrative point of view in mind. In this paper a dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection has been proposed. Few factors related to intra zone mobilization; inter zone mobilization and rate of detection are the key points in the proposed model. Various remedial steps are taken into consideration in the form of operating procedures. Further such operating procedures are applied over the model in standalone or hybridized mode and responses are reported in this paper in a case-studies manner. Further zone-wise increase in infected population due to the spreading of pandemic COVID-19 has been studied and reported in this paper. Also the proposed model has been applied over the real world data considering three states of India and the predicted responses are compared with real data and reported with bar chart representation in this paper. [ABSTRACT FROM AUTHOR]