A Hybrid Model with Digital Proximity

It is crucial to predict epidemic patterns and trace disease using data-driven solutions that fulfill the needs of exist defense applications & global plans in order to create socially resilient and long-term sustainable urban areas during the pandemic breakout. While evaluating its drawbacks and advantages for both out and private decision-making, people's behavior is taken into account. The SEIR (Susceptible-Exposed-Infectious-Recovered) epidemiology model offers early information on user choices in a DPTT. The proposed model's influence on the Covid-19 dissemination dynamics is assessed, and the findings are given in this paper. The hybrid model with digital proximity is been analyzed in detail.