Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/243485 
Year of Publication: 
2020
Series/Report no.: 
LEM Working Paper Series No. 2020/27
Publisher: 
Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM), Pisa
Abstract: 
In this paper, I study epidemic diffusion in a generalized spatial SEIRD model, where individuals are initially connected in a social or geographical network. As the virus spreads in the network, the structure of interactions between people may endogenously change over time, due to quarantining measures and/or spatial-distancing policies. I explore via simulations the dynamic properties of the co-evolutionary process dynamically linking disease diffusion and network properties. Results suggest that, in order to predict how epidemic phenomena evolve in networked populations, it is not enough to focus on the properties of initial interaction structures. Indeed, the co-evolution of network structures and compartment shares strongly shape the process of epidemic diffusion, especially in terms of its speed. Furthermore, I show that the timing and features of spatial-distancing policies may dramatically influence their effectiveness.
Subjects: 
Corona Virus Disease
COVID-19
Diffusion Models on Networks
Spatial SEIRD Models
JEL: 
C64
D85
Document Type: 
Working Paper

Files in This Item:
File
Size
821.63 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.