Correlations Between COVID-19 Cases and Google Trends Data in the United States: A State-by-State Analysis

OBJECTIVE: To evaluate whether a digital surveillance model using Google Trends is feasible for obtaining accurate data on coronavirus disease 2019 and whether accurate predictions can be made regarding new cases. METHODS: Data on total and daily new cases in each US state were collected from Januar...

Descripción completa

Detalles Bibliográficos
Autores principales: Kurian, Shyam J., Bhatti, Atiq ur Rehman, Alvi, Mohammed Ali, Ting, Henry H., Storlie, Curtis, Wilson, Patrick M., Shah, Nilay D., Liu, Hongfang, Bydon, Mohamad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mayo Foundation for Medical Education and Research 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439962/
https://www.ncbi.nlm.nih.gov/pubmed/33164756
http://dx.doi.org/10.1016/j.mayocp.2020.08.022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439962/
https://www.ncbi.nlm.nih.gov/pubmed/33164756
http://dx.doi.org/10.1016/j.mayocp.2020.08.022

Ejemplares similares