EpiTopics: A dynamic machine learning model to predict and inform non-pharmacological public health interventions from global news reports

Non-pharmacological interventions (NPIs) are important for controlling infectious diseases such as COVID-19, but their implementation is currently monitored in an ad hoc manner. To address this issue, we present a three-stage machine learning framework called EpiTopics to facilitate the surveillance...

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Detalles Bibliográficos
Autores principales: Wen, Zhi, Zhang, Jingfu, Powell, Guido, Chafi, Imane, Buckeridge, David L., Li, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189439/
https://www.ncbi.nlm.nih.gov/pubmed/35712009
http://dx.doi.org/10.1016/j.xpro.2022.101463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189439/
https://www.ncbi.nlm.nih.gov/pubmed/35712009
http://dx.doi.org/10.1016/j.xpro.2022.101463

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