Construction and validation of a COVID-19 pandemic trend forecast model based on Google Trends data for smell and taste loss

AIM: To explore the role of smell and taste changes in preventing and controlling the COVID-19 pandemic, we aimed to build a forecast model for trends in COVID-19 prediction based on Google Trends data for smell and taste loss. METHODS: Data on confirmed COVID-19 cases from 6 January 2020 to 26 Dece...

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Detalles Bibliográficos
Autores principales: Chen, Jingguo, Mi, Hao, Fu, Jinyu, Zheng, Haitian, Zhao, Hongyue, Yuan, Rui, Guo, Hanwei, Zhu, Kang, Zhang, Ya, Lyu, Hui, Zhang, Yitong, She, Ningning, Ren, Xiaoyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751448/
https://www.ncbi.nlm.nih.gov/pubmed/36530657
http://dx.doi.org/10.3389/fpubh.2022.1025658

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751448/
https://www.ncbi.nlm.nih.gov/pubmed/36530657
http://dx.doi.org/10.3389/fpubh.2022.1025658

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