Cargando…
Modeling Epidemics with Dynamic Small‐World Networks
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 thresh...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Institute of Physics
2005
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108764/ https://www.ncbi.nlm.nih.gov/pubmed/32255876 http://dx.doi.org/10.1063/1.1985392 |
_version_ | 1783512840378777600 |
---|---|
author | Kaski, Kimmo Saramäki, Jari |
author_facet | Kaski, Kimmo Saramäki, Jari |
author_sort | Kaski, Kimmo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7108764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | American Institute of Physics |
record_format | MEDLINE/PubMed |
spelling | pubmed-71087642020-04-01 Modeling Epidemics with Dynamic Small‐World Networks Kaski, Kimmo Saramäki, Jari AIP Conf Proc Article 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. American Institute of Physics 2005-06-21 /pmc/articles/PMC7108764/ /pubmed/32255876 http://dx.doi.org/10.1063/1.1985392 Text en All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kaski, Kimmo Saramäki, Jari Modeling Epidemics with Dynamic Small‐World Networks |
title | Modeling Epidemics with Dynamic Small‐World Networks |
title_full | Modeling Epidemics with Dynamic Small‐World Networks |
title_fullStr | Modeling Epidemics with Dynamic Small‐World Networks |
title_full_unstemmed | Modeling Epidemics with Dynamic Small‐World Networks |
title_short | Modeling Epidemics with Dynamic Small‐World Networks |
title_sort | modeling epidemics with dynamic small‐world networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108764/ https://www.ncbi.nlm.nih.gov/pubmed/32255876 http://dx.doi.org/10.1063/1.1985392 |
work_keys_str_mv | AT kaskikimmo modelingepidemicswithdynamicsmallworldnetworks AT saramakijari modelingepidemicswithdynamicsmallworldnetworks |