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...

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Detalles Bibliográficos
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:
Article
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

Internet

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

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