Cargando…
Beyond network structure: How heterogeneous susceptibility modulates the spread of epidemics
The compartmental models used to study epidemic spreading often assume the same susceptibility for all individuals, and are therefore, agnostic about the effects that differences in susceptibility can have on epidemic spreading. Here we show that–for the SIS model–differential susceptibility can mak...
Autores principales: | Smilkov, Daniel, Hidalgo, Cesar A., Kocarev, Ljupco |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3999455/ https://www.ncbi.nlm.nih.gov/pubmed/24762621 http://dx.doi.org/10.1038/srep04795 |
Ejemplares similares
-
Modeling the Spread of Multiple Concurrent Contagions on Networks
por: Stanoev, Angel, et al.
Publicado: (2014) -
Non-Markovian SIR epidemic spreading model of COVID-19
por: Basnarkov, Lasko, et al.
Publicado: (2022) -
How heterogeneous susceptibility and recovery rates affect the spread of epidemics on networks
por: Gou, Wei, et al.
Publicado: (2017) -
Consensus and Synchronization in Complex Networks
por: Kocarev, Ljupco
Publicado: (2013) -
Complex Dynamics in Communication Networks
por: Kocarev, Ljupco, et al.
Publicado: (2005)