Panagiotis D. Ritsos

MEng PhD Essex, FHEA

Senior Lecturer in Visualization

XReality, Visualization and
Analytics (XRVA) Lab

Visualization, Data, Modelling and
Graphics (VDMG) research group,

School of Computer Science
and Engineering,

Bangor University,
Dean Street, Bangor,
Gwynedd, UK, LL57 1UT

Preparedness for visualization in the next pandemic

Abstract

This article discusses considerations on how visualization can be best positioned to help response to future pandemics. We examine visualization, along with the corresponding and necessary enabling technologies and platforms, as a tool to facilitate a rapid and effective response to a forthcoming pandemic. We consider challenges in terms of an infrastructure supporting world-wide response, corresponding training and stakeholder engagement, integration of future technologies, and appraisal of such systems, Finally, we discuss how addressing these challenges also helps emergency response beyond infectious diseases.

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Citation

F. McGee, M. Abu Sin, M. Chen, D. Ebert, K. Misue, P. D. Ritsos, and A. Wulff, “Preparedness for visualization in the next pandemic,” IEEE Computer Graphics and Applications (To appear), 2025.  doi:10.1109/MCG.2025.3561619

Bibtex

@article{McGee-et-al-CGA-2025,
  title = {Preparedness for visualization in the next pandemic},
  author = {McGee, Fintan and Abu Sin, Muna and Chen, Min and Ebert, David and Misue, Kazuo and Ritsos, Panagiotis D. and Wulff, Antje},
  year = {2025},
  journal = {IEEE Computer Graphics and Applications (To appear)},
  doi = {10.1109/MCG.2025.3561619}
}