Paper Info
Title
The Importance Of Being Hybrid For Spatial Epidemic Models: A Multi-Scale Approach
Abstract
This work addresses the spread of a disease within an urban system, defined as a network of interconnected cities. The first step consists of comparing two different approaches: a macroscopic one, based on a system of coupled Ordinary Differential Equations (ODE) Susceptible-Infected-Recovered (SIR) systems exploiting populations on nodes and flows on edges (so-called metapopulational model), and a hybrid one, coupling ODE SIR systems on nodes and agents traveling on edges. Under homogeneous conditions (mean field approximation), this comparison leads to similar results on the outputs on which we focus (the maximum intensity of the epidemic, its duration and the time of the epidemic peak). However, when it comes to setting up epidemic control strategies, results rapidly diverge between the two approaches, and it appears that the full macroscopic model is not completely adapted to these questions. In this paper, we focus on some control strategies, which are quarantine, avoidance and risk culture, to explore the differences, advantages and disadvantages of the two models and discuss the importance of being hybrid when modeling and simulating epidemic spread at the level of a whole urban system.
Year
DOI
Venue
2015
10.3390/systems3040309
SYSTEMS
Keywords
Field
DocType
agent-based modeling, city systems, disease spread, mobility, model coupling, metapopulation, network, ODE
Metapopulation,Applied mathematics,Macroscopic model,Coupling,Ordinary differential equation,Computer science,Homogeneous,Operations research,Mean field theory,Artificial intelligence,Natural language processing,Ode
Journal
Volume
Issue
ISSN
3
4
2079-8954
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Arnaud Banos144.86
Nathalie Corson200.34
Benoit Gaudou321229.08
Vincent Laperrière401.01
Sebastien Rey-Coyrehourcq5171.78