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Reflections on Visualizing the COVID-19 Pandemic for the Public
IEEE Computer Graphics and Applications
|May 27, 2026
Summary
Effective public health communication requires inclusive data visualization practices. Recommendations include cross-disciplinary collaboration and audience-centered design for future pandemics.
Area of Science:
- Public Health Communication
- Data Visualization
- Pandemic Preparedness
Background:
- The COVID-19 pandemic highlighted the critical role of data visualization in public health.
- Effective communication of complex health data is essential for informed decision-making.
- Previous visualization strategies may have had limitations in addressing diverse public needs.
Purpose of the Study:
- To reflect on experiences with COVID-19 data visualization for public health communication.
- To identify missed opportunities and key considerations in pandemic data visualization.
- To provide actionable recommendations for improving future pandemic communication.
Main Methods:
- International researchers with diverse backgrounds convened for a workshop.
- Discussions focused on shared experiences and lessons learned from COVID-19 data visualization.
- Analysis of visualization practices and their effectiveness in public health communication.
Main Results:
- Cross-disciplinary collaboration, including socio-technical expertise, is crucial.
- Personalization and a deeper consideration of audience are vital for effective communication.
- Coordinated communication pathways are necessary for timely information dissemination.
Conclusions:
- Future pandemic data visualization must be more inclusive and audience-focused.
- Integrating socio-technical perspectives enhances visualization impact.
- Strategic communication planning is key to leveraging data visualization effectively in public health crises.
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