Need of care in interpreting Google Trends-based COVID-19 infodemiological study results: potential risk of false-positivity

BACKGROUND: Google Trends (GT) is being used as an epidemiological tool to study coronavirus disease (COVID-19) by identifying keywords in search trends that are predictive for the COVID-19 epidemiological burden. However, many of the earlier GT-based studies include potential statistical fallacies...

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Detalles Bibliográficos
Autores principales: Sato, Kenichiro, Mano, Tatsuo, Iwata, Atsushi, Toda, Tatsushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286439/
https://www.ncbi.nlm.nih.gov/pubmed/34275447
http://dx.doi.org/10.1186/s12874-021-01338-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286439/
https://www.ncbi.nlm.nih.gov/pubmed/34275447
http://dx.doi.org/10.1186/s12874-021-01338-2

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