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.

Dieses Paper zitieren

T. Baumgartl et al., "Empowering Communities: Tailored Pandemic Data Visualization for Varied Tasks and Users," in IEEE Computer Graphics and Applications, vol. 45, no. 1, pp. 130-138, Jan.-Feb. 2025, doi: 10.1109/MCG.2024.3509293.

BibTeX:

@Article{Baumgartl_2025,
 author    = {Baumgartl, Tom and Ghoniem, Mohammad and von Landesberger, Tatiana and Marai, G. Elisabeta and Miksch, Silvia and Mohr, Sibylle and Scheithauer, Simone and Srivastava, Nikita},
 journal   = {IEEE Computer Graphics and Applications},
 title     = {Empowering Communities: Tailored Pandemic Data Visualization for Varied Tasks and Users},
 year      = {2025},
 issn      = {1558-1756},
 month     = jan,
 number    = {1},
 pages     = {130--138},
 volume    = {45},
 doi       = {10.1109/mcg.2024.3509293},
 publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
}