Patterns of public interest in infectious diseases in South Korea, five other major countries, and worldwide: A Google trends analysis

Background: Various studies have demonstrated the usefulness of Google search data for public health-monitoring systems. The aim of this study is to be estimated interest of public in infectious diseases in infectious diseases in South Korea, the five other countries. Methods: We conducted cross-country comparisons for queries related to the H1N1 virus and Middle East respiratory syndrome coronavirus (MERS-CoV). We analyzed queries related to the novel coronavirus disease (COVID-19) from 20 January to 13 April 2020, and performed time-descriptive and correlation analyses on trend patterns. Results: Trends in H1N1, MERS-CoV, and COVID-19 queries in South Korea matched those in the five other countries and worldwide. The relative search volume (RSV) for the MERS-CoV virus increased as the cumulative number of confirmed cases in South Korea increased and decreased significantly as the number of confirmed cases decreased. The volume of COVID-19 queries dramatically increased as South Korea’s confirmed COVID-19 cases grew significantly at the community level. However, RSV remained stable over time. Conclusions: Google Trends provides real-time data based on search patterns related to infectious diseases, allowing for continuous monitoring of public reactions, disease spread, and changes in perceptions or concerns. We can use this information to adjust their strategies of the prevention of epidemics or provide timely updates to the public.

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Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-12-30
DOI
https://doi.org/10.24294/jipd9872
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
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article

Patterns of public interest in infectious diseases in South Korea, five other major countries, and worldwide: A Google trends analysis

Chae-Bong Kim, Y.-C. Lee, Dong Kyu Kim
Journal of Infrastructure Policy and Development
Data-Driven Disease Surveillance
article

Patterns of public interest in infectious diseases in South Korea, five other major countries, and worldwide: A Google trends analysis

Chae-Bong Kim, Y.-C. Lee, Dong Kyu Kim
article en

Abstract

Background: Various studies have demonstrated the usefulness of Google search data for public health-monitoring systems. The aim of this study is to be estimated interest of public in infectious diseases in infectious diseases in South Korea, the five other countries. Methods: We conducted cross-country comparisons for queries related to the H1N1 virus and Middle East respiratory syndrome coronavirus (MERS-CoV). We analyzed queries related to the novel coronavirus disease (COVID-19) from 20 January to 13 April 2020, and performed time-descriptive and correlation analyses on trend patterns. Results: Trends in H1N1, MERS-CoV, and COVID-19 queries in South Korea matched those in the five other countries and worldwide. The relative search volume (RSV) for the MERS-CoV virus increased as the cumulative number of confirmed cases in South Korea increased and decreased significantly as the number of confirmed cases decreased. The volume of COVID-19 queries dramatically increased as South Korea’s confirmed COVID-19 cases grew significantly at the community level. However, RSV remained stable over time. Conclusions: Google Trends provides real-time data based on search patterns related to infectious diseases, allowing for continuous monitoring of public reactions, disease spread, and changes in perceptions or concerns. We can use this information to adjust their strategies of the prevention of epidemics or provide timely updates to the public.

Journal of Infrastructure Policy and DevelopmentVol. 8(16)
Seoyeong University (KR)
Good health and well-being
Openalex Percentile: Top 64%
Data-Driven Disease Surveillance
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Patterns of public interest in infectious diseases in South Korea, five other major countries, and worldwide: A Google trends analysis — Chae-Bong Kim, Y.-C. Lee, et al. · Journal of Infrastructure Policy and Development (2024) | TGRS Research Map | TGRS