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

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

Abstract 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 fa...

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Bibliographic Details
Main Authors: Kenichiro Sato, Tatsuo Mano, Atsushi Iwata, Tatsushi Toda
Format: Article
Language:English
Published: BMC 2021-07-01
Series:BMC Medical Research Methodology
Subjects:
COVID-19
Google Trends
Infodemiology
Vector autoregression model
Granger causality
Online Access:https://doi.org/10.1186/s12874-021-01338-2

Internet

https://doi.org/10.1186/s12874-021-01338-2

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