Empowering Communities: Tailored Pandemic Data Visualization for Varied Tasks and Users
Data visualization methodologies were intensively leveraged during the COVID-19 pandemic. We review our design experience working on a set of interdisciplinary COVID-19 pandemic projects. We describe the challenges we met in these projects, characterize the respective user communities, the goals and tasks we supported, and the data types and visual media we worked with. Furthermore, we instantiate these characterizations in a series of case studies. Finally, we describe the visual analysis lessons we learned, considering future pandemics.
Authors
- Tatiana von Landesberger (ORCID: https://orcid.org/0000-0002-5279-1444)
- Silvia Miksch (ORCID: https://orcid.org/0000-0003-4427-5703)
- Mohammad Ghoniem (ORCID: https://orcid.org/0000-0001-6745-3651)
- Sibylle Mohr (ORCID: https://orcid.org/0000-0002-9089-6327)
- Tom Baumgartl (ORCID: https://orcid.org/0000-0002-5495-1544)
- Simone Scheithauer (ORCID: https://orcid.org/0000-0003-0773-4739)
- G. Elisabeta Marai (ORCID: https://orcid.org/0000-0002-7212-9669)
- N. N. Srivastava
Institutions
- TU Wien (AT)
- University of Cologne (DE)
- University of Illinois Chicago (US)
- Luxembourg Institute of Science and Technology (LU)
- University of Glasgow (GB)
Publication Details
- Journal
- IEEE Computer Graphics and Applications
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/mcg.2024.3509293
- Primary Topic
- Data Visualization and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Rural and Environment Science and Analytical Services Division
- Bundesministerium für Bildung und Forschung
- National Institutes of Health
- National Cancer Institute