Impact of temporal correlations on high risk outbreaks of independent and cooperative SIR dynamics

We first propose a quantitative approach to detect high risk outbreaks of independent and coinfective SIR dynamics on three empirical networks: a school, a conference and a hospital contact network. This measurement is based on the k-means clustering method and identifies proper samples for calculat...

Descripción completa

Detalles Bibliográficos
Autores principales: Sajjadi, Sina, Ejtehadi, Mohammad Reza, Ghanbarnejad, Fakhteh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291698/
https://www.ncbi.nlm.nih.gov/pubmed/34283838
http://dx.doi.org/10.1371/journal.pone.0253563

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291698/
https://www.ncbi.nlm.nih.gov/pubmed/34283838
http://dx.doi.org/10.1371/journal.pone.0253563

Ejemplares similares