Related Experiment Video
Updated: Oct 27, 2025

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
Published on: February 3, 2023
COVID-19 Apps as a Digital Intervention Policy: A Longitudinal Panel Data Analysis in South Korea
1CUHK Business School, The Chinese University of Hong Kong.
Abstract:
Many countries have developed COVID-19 tracking apps that help individuals trace and detect "people" who are likely to have come in contact with confirmed patients. However, their adoption rates remain low. This study, therefore, investigated South Koreans' adoption and usage behaviors of COVID-19 apps that detect the "place" where infectious people are found and alert people within 100m in dangerous zones. Our focus was on such apps' impact on various facets of human life . Specifically, we analyzed mobile app usage data from 5,940 panelists at the start of the pandemic in South Korea and after the first major wave (January 6 to August 2, 2020). Findings showed that higher-income and more educated individuals were more likely to adopt COVID-19 apps early, and male and low-income people tended to use the COVID-19 tracking apps more frequently. In addition, this study offered empirical evidence of health protective behaviors, such as driving, shopping online, ordering food online, and avoiding travel and public transportation, and supported social- and religious-coping for people using COVID-19 apps. The implications are valuable for policy makers to implement a digital policy to motivate people to voluntarily engage in self-protective and coping behaviors through COVID-19 apps.
Related Concept Videos
Statistical Methods for Analyzing Epidemiological Data
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Longitudinal Studies
Statistical Software for Data Analysis and Clinical Trials
Longitudinal Research
Cross-Sectional Research

