High variability in model performance of Google relative search volumes in spatially clustered COVID-19 areas of the USA

High variability in model performance of Google relative search volumes in spatially clustered COVID-19 areas of the USA

ABSTRACT: Objective: Incorporating spatial analyses and online health information queries may be beneficial in understanding the role of Google relative search volume (RSV) data as a secondary public health surveillance tool during pandemics. This study identified coronavirus disease 2019 (COVID-19)...

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Bibliographic Details
Main Authors: Atina Husnayain, Ting-Wu Chuang, Anis Fuad, Emily Chia-Yu Su
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:International Journal of Infectious Diseases
Subjects:
COVID-19
United States
Spatial analysis
Google Trends
Predictability performance
Infodemiology
Online Access:http://www.sciencedirect.com/science/article/pii/S1201971221005877

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