Empowering Communities: Tailored Pandemic Data Visualization for Varied Tasks and Users
Auteurs
Baumgartl T., Ghoniem M., Von Landesberger T., Marai G.E., Miksch S., Mohr S., Scheithauer S., Srivastava N., Tory M., Keefe D.
Référence
IEEE Computer Graphics and Applications, vol. 45, n° 1, pp. 130-138, 2025
Description
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.
