Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Utilization of Mobility Data in the Fight Against COVID-19
por: Kurian, Shyam J., et al.
Publicado: (2020) -
Improving Google Flu Trends Estimates for the United States through Transformation
por: Martin, Leah J., et al.
Publicado: (2014) -
Predicting Norovirus in the United States Using Google Trends: Infodemiology Study
por: Yuan, Kai, et al.
Publicado: (2021) -
Correction: Improving Google Flu Trends Estimates for the United States through Transformation
por: Martin, Leah J., et al.
Publicado: (2015) -
COVID-19 predictability in the United States using Google Trends time series
por: Mavragani, Amaryllis, et al.
Publicado: (2020)