Cargando…
Network inference from population-level observation of epidemics
Using the continuous-time susceptible-infected-susceptible (SIS) model on networks, we investigate the problem of inferring the class of the underlying network when epidemic data is only available at population-level (i.e., the number of infected individuals at a finite set of discrete times of a si...
Autores principales: | Di Lauro, F., Croix, J.-C., Dashti, M., Berthouze, L., Kiss, I. Z. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7606546/ https://www.ncbi.nlm.nih.gov/pubmed/33139773 http://dx.doi.org/10.1038/s41598-020-75558-9 |
Ejemplares similares
-
Epidemic threshold in pairwise models for clustered networks: closures and fast correlations
por: Barnard, Rosanna C., et al.
Publicado: (2019) -
The Impact of Contact Structure and Mixing on Control Measures and Disease-Induced Herd Immunity in Epidemic Models: A Mean-Field Model Perspective
por: Di Lauro, Francesco, et al.
Publicado: (2021) -
Edge-Based Compartmental Modelling of an SIR Epidemic on a Dual-Layer Static–Dynamic Multiplex Network with Tunable Clustering
por: Barnard, Rosanna C., et al.
Publicado: (2018) -
Optimal timing of one-shot interventions for epidemic control
por: Di Lauro, Francesco, et al.
Publicado: (2021) -
Inferring population-level contact heterogeneity from common epidemic data
por: Stack, J. Conrad, et al.
Publicado: (2013)