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Empowering Communities: Tailored Pandemic Data Visualization for Varied Tasks and Users
Authors: Baumgartl, T., Ghoniem, M., von Landesberger, T., Marai, G. E., Miksch, S., Scheithauer, S., Srivastava, N.
Publication: IEEE Computer Graphics and Applications, vol 45, no 1, pp. 130 - 138 URL: https://ieeexplore.ieee.org/document/10964487 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. https://ieeexplore.ieee.org/document/10964487 Date: April 14, 2025 Document: View PDF |
