Soliciting Diaries for "Real-Time" Insights Into the COVID-19 Pandemic: Methodological Reflections on Using Digital Technologies to Engage the Public

Int J Public Health. 2024 Sep 25:69:1606912. doi: 10.3389/ijph.2024.1606912. eCollection 2024.

Abstract

Objectives: To discuss the opportunities and challenges of the qualitative solicited diary approach using digital technologies as an innovative way to access insights into people's lives and their unique stories in times of COVID-19-related social distancing in Switzerland.

Methods: This case study provides reflective arguments from a social science perspective for the selection of different (digital) diary designs to optimize data collection in the SNSF-funded project "PubliCo - an experimental online platform for COVID-19-related public perception."

Results: The findings highlight some opportunities of using (digital) diaries, such as empowering participants, gathering real-time data, and ethical and methodological challenges when it comes to gaining access to alternative narratives.

Conclusion: To gain in-depth insights during a crisis and to reach the lesser-heard voices that are central to democratic debates, it is necessary to adapt data gathering methods and build trust with diverse communities. While digital technologies open up new possibilities for public engagement, there is a need to think critically how data gathering is approached, how trustworthy the results are, and whose voices are captured, amplified, or left out.

Keywords: COVID-19; Switzerland; alternative narratives; digital technologies; public perception; qualitative solicited diaries.

MeSH terms

  • COVID-19* / epidemiology
  • COVID-19* / prevention & control
  • Data Collection / methods
  • Diaries as Topic
  • Digital Technology*
  • Humans
  • Pandemics
  • Physical Distancing
  • Qualitative Research
  • SARS-CoV-2
  • Switzerland

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This project was supported by the Swiss National Science Foundation, project number 31CA30_195905.