Cargando…
Performance of early warning signals for disease re-emergence: A case study on COVID-19 data
Developing measures for rapid and early detection of disease re-emergence is important to perform science-based risk assessment of epidemic threats. In the past few years, several early warning signals (EWS) from complex systems theory have been introduced to detect impending critical transitions an...
Autores principales: | Proverbio, Daniele, Kemp, Françoise, Magni, Stefano, Gonçalves, Jorge |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000113/ https://www.ncbi.nlm.nih.gov/pubmed/35353809 http://dx.doi.org/10.1371/journal.pcbi.1009958 |
Ejemplares similares
-
Systematic analysis and optimization of early warning signals for critical transitions using distribution data
por: Proverbio, Daniele, et al.
Publicado: (2023) -
Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis
por: Proverbio, Daniele, et al.
Publicado: (2022) -
Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks
por: Proverbio, Daniele, et al.
Publicado: (2021) -
Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden
por: Kemp, Françoise, et al.
Publicado: (2021) -
COVID-19 crisis management in Luxembourg: Insights from an epidemionomic approach
por: Burzyński, Michał, et al.
Publicado: (2021)