Retrospective analysis of the accuracy of predicting the alert level of COVID-19 in 202 countries using Google Trends and machine learning

BACKGROUND: Internet search engine data, such as Google Trends, was shown to be correlated with the incidence of COVID-19, but only in several countries. We aim to develop a model from a small number of countries to predict the epidemic alert level in all the countries worldwide. METHODS: The “inter...

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Detalles Bibliográficos
Autores principales: Peng, Yuanyuan, Li, Cuilian, Rong, Yibiao, Chen, Xinjian, Chen, Haoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2020
Materias:
Research Theme 1: COVID-19 Pandemic
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567446/
https://www.ncbi.nlm.nih.gov/pubmed/33110594
http://dx.doi.org/10.7189/jogh.10.020511

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567446/
https://www.ncbi.nlm.nih.gov/pubmed/33110594
http://dx.doi.org/10.7189/jogh.10.020511

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