Integrating geographic information system technique with Google trends data to analyse COVID-19 severity and public interest

Abstract

At the time of writing, the tally of confirmed novel coronavirus (COVID-19) cases worldwide has exceeded 26.6 million.1 The United States has become the global epicentre since April 2020, and now it is accounted for nearly one-quarter of the world's total cases. Some studies suggest that health-related issues can cause anxiety which may lead to increased public attention, typically manifested by online information search.2,3 Along the same lines, given the substantial regional disparities of COVID-19 case severities across states in the United States, the relationship between regional case severities and the public interest emerges as an imperative for COVID-19–based public health studies.

Document Type

Letter to the Editor

Date of Publication

2020

ISSN

00333506

Volume

189

School

School of Business and Law

Copyright

subscription content

Publisher

Springer

Comments

Zhang, T. (2020). Integrating geographic information system technique with Google trends data to analyse COVID-19 severity and public interest. Public Health, 189, 3-4. https://doi.org/10.1016/j.puhe.2020.09.005

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Link to publisher version (DOI)

10.1016/j.puhe.2020.09.005