Modeling Epidemics with Dynamic Small-World Networks | Zendy

Kimmo Kaski | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Modeling Epidemics with Dynamic Small-World Networks

Author(s) -

Kimmo Kaski

Publication year - 2005

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.177

H-Index - 75

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.1985392

Subject(s) - epidemic model , computer science , range (aeronautics) , statistical physics , saturation (graph theory) , mathematics , physics , engineering , aerospace engineering , population , demography , combinatorics , sociology

In this presentation a minimal model for describing the spreading of an infectious disease, such as influenza, is discussed. Here it is assumed that spreading takes place on a dynamic small‐world network comprising short‐ and long‐range infection events. Approximate equations for the epidemic threshold as well as the spreading dynamics are derived and they agree well with numerical discrete time‐step simulations. Also the dependence of the epidemic saturation time on the initial conditions is analysed and a comparison with real‐world data is made.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research