Skip to main content

Research Repository

Advanced Search

Online Health Information Seeking for Mpox in Endemic and Nonendemic Countries: Google Trends Study

Shepherd, Thomas; Robinson, Michelle; Mallen, Christian

Online Health Information Seeking for Mpox in Endemic and Nonendemic Countries: Google Trends Study Thumbnail


Authors



Abstract

Background:
The recent global outbreak of mpox (monkeypox) has already been declared a public health emergency of international concern by the World Health Organization. Given the health, social, and economic impacts of the COVID-19 pandemic, there is understandable concern and anxiety around the emergence of another infectious disease—especially one about which little is known.

Objective:
We used Google Trends to explore online health information seeking patterns for mpox in endemic and nonendemic countries and investigated the impact of the publication of the first in-country case on internet search volume.

Methods:
Google Trends is a publicly accessible and free data source that aggregates worldwide Google search data. Google search data were used as a surrogate measure of online health information seeking for 178 days between February 18 and August 18, 2022. Searching data were downloaded across this time period for nonendemic countries with the highest case count (United States, Spain, Germany, United Kingdom, and France) and 5 endemic countries (Democratic Republic of Congo, Nigeria, Ghana, Central African Republic, and Cameroon). Joinpoint regression analysis was used to measure changes in searching trends for mpox preceding and following the announcement of the first human case.

Results:
Online health information seeking significantly increased after the publication of the first case in all the nonendemic countries—United States, Spain, Germany, United Kingdom, and France, as illustrated by significant joinpoint regression models. Joinpoint analysis revealed that models with 3 significant joinpoints were the most appropriate fit for these data, where the first joinpoint represents the initial rise in mpox searching trend, the second joinpoint reflects the start of the decrease in the mpox searching trend, and the third joinpoint represents searching trends’ return to searching levels prior to the first case announcement. Although this model was also found in 2 endemic countries (ie, Ghana and Nigeria), it was not found in Central African Republic, Democratic Republic of Congo, or Cameroon.

Conclusions:
Findings demonstrate a surge in online heath information seeking relating to mpox after the first in-country case was publicized in all the nonendemic countries and in Ghana and Nigeria among the endemic counties. The observed increases in mpox searching levels are characterized by sharp but short-lived periods of searching before steep declines back to levels observed prior to the publication of the first case. These findings emphasize the importance of the provision of accurate, relevant online public health information during disease outbreaks. However, online health information seeking behaviors only occur for a short time period, and the provision of accurate information needs to be timely in relation to the publication of new case-related information.

Journal Article Type Article
Acceptance Date Feb 28, 2023
Publication Date Apr 13, 2023
Publicly Available Date May 30, 2023
Journal JMIR Formative Research
Print ISSN 2561-326X
Publisher JMIR Publications
Peer Reviewed Peer Reviewed
Volume 7
Article Number e42710
DOI https://doi.org/10.2196/42710
Publisher URL https://formative.jmir.org/2023/1/e42710
Related Public URLs https://preprints.jmir.org/preprint/42710
PMID 37052999

Files





You might also like



Downloadable Citations