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Insights from Review and Content Analysis of Current COVID-19 Mobile Apps and Recommendations for Future Pandemics

Author

Listed:
  • Yeongju Kim

    (Department of Health Administration, Kongju National University, Gongju 32588, Korea)

  • Jihye Choi

    (Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA)

  • Young-A Ji

    (College of Medicine, Gyeongsang National University, Jinju 52828, Korea)

  • Hyekyung Woo

    (Department of Health Administration, Kongju National University, Gongju 32588, Korea
    Institute of Health and Environment, Kongju National University, Gongju 32588, Korea)

Abstract

A number of mobile health apps related to coronavirus infectious disease 2019 (COVID-19) have been developed, but research into app content analytics for effective surveillance and management is still in its preliminary stages. The present study aimed to identify the purpose and functions of the currently available COVID-19 apps using content analysis. The secondary aim was to propose directions for the future development of apps that aid infectious disease surveillance and control with a focus on enhancing the app content and quality. Prior to conducting an app search in the App Store and the Google Play Store, we reviewed previous studies on COVID-19 apps found in Google Scholar and PubMed to examine the main purposes of the apps. Using the five selected keywords based on the review, we searched the two app stores to retrieve eligible COVID-19 apps including those already addressed in the reviewed literature. We conducted descriptive and content analyses of the selected apps. We classified the purpose types of the COVID-19 apps into the following five categories: Information provision, tracking, monitoring, mental health management, and engagement. We identified 890 apps from the review articles and the app stores: 47 apps met the selection criteria and were included in the content analysis. Among the selected apps, iOS apps outnumbered Android apps, 27 apps were government-developed, and most of the apps were created in the United States. The most common function for the iOS apps (63.6%) and Android apps (62.5%) was to provide COVID-19-related knowledge. The most common function among the tracking apps was to notify users of contact with infected people by the iOS apps (40.9%) and Android apps (37.5%). About 29.5% of the iOS apps and 25.0% of the Android apps were used to record symptoms and self-diagnose. Significantly fewer apps targeted mental health management and engagement. Six iOS apps (6/44, 13.6%) and four Android apps (4/24, 16.7%) provided behavioral guidelines about the pandemic. Two iOS apps (2/44, 4.5%) and two Android apps (2/24, 8.3%) featured communication functions. The present content analysis revealed that most of the apps provided unilateral information and contact tracing or location tracking. Several apps malfunctioned. Future research and development of COVID-19 apps or apps for other emerging infectious diseases should address the quality and functional improvements, which should begin with continuous monitoring and actions to mitigate any technical errors.

Suggested Citation

  • Yeongju Kim & Jihye Choi & Young-A Ji & Hyekyung Woo, 2022. "Insights from Review and Content Analysis of Current COVID-19 Mobile Apps and Recommendations for Future Pandemics," IJERPH, MDPI, vol. 19(22), pages 1-13, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:14652-:d:966429
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    References listed on IDEAS

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    1. Meshari F. Alwashmi, 2020. "The Use of Digital Health in the Detection and Management of COVID-19," IJERPH, MDPI, vol. 17(8), pages 1-7, April.
    2. Stefano Comino & Fabio M. Manenti & Franco Mariuzzo, 2019. "Updates management in mobile applications: iTunes versus Google Play," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(3), pages 392-419, June.
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