Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Survival dynamical systems: individual-level survival analysis from population-level epidemic models
por: KhudaBukhsh, Wasiur R., et al.
Publicado: (2020) -
Analysis of individual-level data from 2018–2020 Ebola outbreak in Democratic Republic of the Congo
por: Vossler, Harley, et al.
Publicado: (2022) -
COVID-19 dynamics in an Ohio prison
por: KhudaBukhsh, Wasiur R., et al.
Publicado: (2023) -
Assortative mixing among vaccination groups and biased estimation of reproduction numbers
por: Klaus, Colin, et al.
Publicado: (2022) -
A machine learning model for nowcasting epidemic incidence
por: Sahai, Saumya Yashmohini, et al.
Publicado: (2022)