Effect of Infection Hubs in District-Based Network Epidemic Spread Model

A network model of epidemic spread accounting for inhomogeneous population district division is investigated. Motivated by the COVID-19 pandemic, we analyze effects infection development in area, example, a city divided into several districts. The districts are characterized certain intensity contact inside and with inter-district communication that can be generally controlled authorities. Specifically, consider effect central district, which hub infection. We investigate how interaction strength influences city’s level development. obtained final infected amount rises an increasing degree connection hub. However, situation was not limited first outbreak but included subsequent waves appearance disappearance essentially depended on Our results suggest mechanism where stricter policy negatively affect waves.