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

Authors

Tenghao Zhang, Edith Cowan UniversityFollow

Document Type

Letter to the Editor

Publication Title

Public Health

ISSN

00333506

Volume

189

First Page

3

Last Page

4

Publisher

Springer

School

School of Business and Law

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

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.

DOI

10.1016/j.puhe.2020.09.005

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