Scenario prediction of public health emergencies using infectious disease dynamics model and dynamic Bayes

This study was aimed to discuss the predictive value of infectious disease dynamics model (IDD model) and dynamic Bayesian network (DBN) for scenario deduction of public health emergencies (PHEs). Based on the evolution law of PHEs and the meta-scenario representation of basic knowledge, this study...

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Detalles Bibliográficos
Autores principales: Gao, Shan, Wang, Hanyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452458/
https://www.ncbi.nlm.nih.gov/pubmed/34566221
http://dx.doi.org/10.1016/j.future.2021.09.028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452458/
https://www.ncbi.nlm.nih.gov/pubmed/34566221
http://dx.doi.org/10.1016/j.future.2021.09.028

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