Prospects for detecting early warning signals in discrete event sequence data: Application to epidemiological incidence data

Early warning signals (EWS) identify systems approaching a critical transition, where the system undergoes a sudden change in state. For example, monitoring changes in variance or autocorrelation offers a computationally inexpensive method which can be used in real-time to assess when an infectious...

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Detalles Bibliográficos
Autores principales: Southall, Emma, Tildesley, Michael J., Dyson, Louise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531856/
https://www.ncbi.nlm.nih.gov/pubmed/32960900
http://dx.doi.org/10.1371/journal.pcbi.1007836

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531856/
https://www.ncbi.nlm.nih.gov/pubmed/32960900
http://dx.doi.org/10.1371/journal.pcbi.1007836

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