Epidemic spreading and control strategies in spatial modular network

Abstract

Epidemic spread on networks is one of the most studied dynamics in network science and has important implications in real epidemic scenarios. Nonetheless, the dynamics of real epidemics and how it is affected by the underline structure of the infection channels are still not fully understood. Here we apply the susceptible-infected-recovered model and study analytically and numerically the epidemic spread on a recently developed spatial modular model imitating the structure of cities in a country. The model assumes that inside a city the infection channels connect many different locations, while the infection channels between cities are less and usually directly connect only a few nearest neighbor cities in a two-dimensional plane. We find that the model experience two epidemic transitions. The first lower threshold represents a local epidemic spread within a city but not to the entire country and the second higher threshold represents a global epidemic in the entire country. Based on our analytical solution we proposed several control strategies and how to optimize them. We also show that while control strategies can successfully control the disease, early actions are essentials to prevent the disease global spread.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 26, 2020
Source ID
10.1007/s41109-020-00337-4

Entities

People

  • Bnaya Gross
  • Shlomo Havlin

Organizations

  • Defense Threat Reduction Agency

Tags

Fields of Study

  • Biology
  • Mathematics

Readers

  • Computational Modeling and Simulation
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  • Systems Analysis and Design