Dynamic survival analysis for non-Markovian epidemic models

We present a new method for analysing stochastic epidemic models under minimal assumptions. The method, dubbed dynamic survival analysis (DSA), is based on a simple yet powerful observation, namely that population-level mean-field trajectories described by a system of partial differential equations...

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Detalles Bibliográficos
Autores principales: Di Lauro, Francesco, KhudaBukhsh, Wasiur R., Kiss, István Z., Kenah, Eben, Jensen, Max, Rempała, Grzegorz A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Life Sciences–Mathematics interface
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156913/
https://www.ncbi.nlm.nih.gov/pubmed/35642427
http://dx.doi.org/10.1098/rsif.2022.0124

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156913/
https://www.ncbi.nlm.nih.gov/pubmed/35642427
http://dx.doi.org/10.1098/rsif.2022.0124

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