<div class="csl-bib-body">
<div class="csl-entry">Baumgartl, T., Ghoniem, M., von Landesberger, T., Marai, G. E., Miksch, S., Mohr, S., Scheithauer, S., & Srivastava, N. (2025). Empowering Communities: Tailored Pandemic Data Visualization for Varied Tasks and Users. <i>IEEE Computer Graphics and Applications</i>, <i>45</i>(1), 130–138. https://doi.org/10.1109/MCG.2024.3509293</div>
</div>
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dc.identifier.issn
0272-1716
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/215045
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dc.description.abstract
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.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
-
dc.language.iso
en
-
dc.publisher
IEEE COMPUTER SOC
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dc.relation.ispartof
IEEE Computer Graphics and Applications
-
dc.subject
Visualization
en
dc.subject
Visual Analytics
en
dc.subject
Pandemics
en
dc.subject
COVID-19
en
dc.subject
SARS-CoV-2
en
dc.title
Empowering Communities: Tailored Pandemic Data Visualization for Varied Tasks and Users
en
dc.type
Article
en
dc.type
Artikel
de
dc.identifier.pmid
40227911
-
dc.description.startpage
130
-
dc.description.endpage
138
-
dc.relation.grantno
I 6635-N
-
dc.type.category
Original Research Article
-
tuw.container.volume
45
-
tuw.container.issue
1
-
tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
wb.publication.intCoWork
International Co-publication
-
tuw.project.title
SANE: Visual Analytics für Ereignisdiffusion in Netzwerken
-
tuw.researchTopic.id
I5
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
IEEE Computer Graphics and Applications
-
tuw.publication.orgunit
E193-07 - Forschungsbereich Visual Analytics
-
tuw.publication.orgunit
E056-18 - Fachbereich Visual Analytics and Computer Vision Meet Cultural Heritage
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tuw.publisher.doi
10.1109/MCG.2024.3509293
-
dc.date.onlinefirst
2025-02
-
dc.identifier.eissn
1558-1756
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dc.description.numberOfPages
9
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tuw.author.orcid
0000-0002-5495-1544
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tuw.author.orcid
0000-0001-6745-3651
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tuw.author.orcid
0000-0002-5279-1444
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tuw.author.orcid
0000-0002-7212-9669
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tuw.author.orcid
0000-0003-4427-5703
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tuw.author.orcid
0000-0002-9089-6327
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tuw.author.orcid
0000-0003-0773-4739
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tuw.author.orcid
0009-0001-3527-2837
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dc.description.sponsorshipexternal
Dagstuhl Seminar 24091 “Reflections on Pandemic Visualization“
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dc.relation.grantnoexternal
10.4230/DagRep.14.2.191
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wb.sci
true
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.languageiso639-1
en
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item.cerifentitytype
Publications
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no Fulltext
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research article
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item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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crisitem.project.funder
FWF - Österr. Wissenschaftsfonds
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crisitem.project.grantno
I 6635-N
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crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
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crisitem.author.orcid
0000-0002-5495-1544
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crisitem.author.orcid
0000-0001-6745-3651
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0000-0002-5279-1444
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crisitem.author.orcid
0000-0002-7212-9669
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crisitem.author.orcid
0000-0003-4427-5703
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crisitem.author.orcid
0000-0002-9089-6327
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crisitem.author.orcid
0000-0003-0773-4739
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crisitem.author.orcid
0009-0001-3527-2837
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
