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During 25 February – 1 March 2024, a small workshop on Reflections on Pandemic Visualization (Dagstuhl Seminar 24091) was held at Schloss Dagstuhl, Wadern, Germany. In the processes of group discussion and report writing, the following list of research papers were collected by the attendees. 🟡Some of these research papers report the VIS work directly related to activities of COVID-19 responses. 🟣Some others were related to preparedness and responses of emergencies in general. 🟢There are also papers, which some attendees considered to be useful for improving VIS preparedness for future emergencies. If any colleague wishes to add further references into this list, please contact the page editor. The papers are organised firstly in alphabetic order of the author names, and then in chronological order.
🟣S. Afzal, R. Maciejewski, and D. S. Ebert. Visual analytics decision support environment for epidemic modeling and response evaluation. In Proc. IEEE Conference on Visual Analytics Science and Technology (VAST), pages 191–200, 2011.
🟡B. Bach, E. Freeman, A. Abdul-Rahman, C. Turkay, S. Khan, Y. Fan, and M. Chen. Dashboard design patterns. IEEE Transactions on Visualization and Computer Graphics, 29(1):342-352 , 2023. DOI. (Presented at IEEE VIS 2022, and IEEE VIS 2022 Honorable Mention.)
🟢W. Berger, H. Piringer, P. Filzmoser, and E. Gröller. Uncertainty-aware exploration of continuous parameter spaces using multivariate prediction. Computer Graphics Forum, 30(3):911–920, 2011.
🟢S. Bergner, M. Sedlmair, T. Moller, S. N. Abdolyousefi, and A. Saad. Paraglide: Interactive parameter space partitioning for computer simulations. IEEE Transactions on Visualization and Computer Graphics, 19(9):1499–1512, 2013.
🟢R. Brecheisen, A. Vilanova, B. Platel, and B. ter Haar Romeny. Parameter sensitivity visualization for DTI fiber tracking. IEEE Transactions on Visualization and Computer Graphics, 15(6):1441–1448, 2009.
🟢K. Brodlie, J. Brooke, M. Chen, D. Chisnall, A. Fewings, C. Hughes, N. W. John, M. W. Jones, M. Riding, and N. Roard. Visual supercomputing: Technologies, applications and challenges. Computer Graphics Forum, 24(2):217–245, 2005.
🟢P. W. S. Butcher, A. Batch, D. Saffo, B. MacIntyre, N. Elmqvist, and P. D. Ritsos. Is native naïve? Comparing native game engines and WebXR as immersive analytics development platforms. IEEE Computer Graphics and Applications, 44(3):91-98, 2024.
🟢A. Chatzimparmpas, K. Kucher, and A. Kerren. Visualization for trust in machine learning revisited: The state of the field in 2023. IEEE Computer Graphics and Applications, pages 1–14, 2024.
🟡M. Chen, A. Abdul-Rahman, D. Archambault, J. Dykes, A. Slingsby, P. D. Ritsos, T. Torsney-Weir, C. Turkay, B. Bach, A. Brett, H. Fang, R. Jianu, S. Khan, R. S. Laramee, L. Matthews, P. H. Nguyen, R. Reeve, J. C. Roberts, F. Vidal, Q. Wang, J. Wood, and K. Xu. RAMPVIS: answering the challenges of building visualisation capabilities for large-scale emergency responses. Epidemics, 39:100569, 2022. DOI. (Earlier versions: Isaac Newton Institute Preprint, 2021. PDF and arXiv, 2020.)
🟢M. Chen and D. S. Ebert. An ontological framework for supporting the design and evaluation of visual analytics systems. Computer Graphics Forum, 38(3):131–144, 2019.
🟢M. Chen and A. Golan. What may visualization processes optimize? IEEE Transactions on Visualization and Computer Graphics, 22(12):2619–2632, 2016.
🟡J. Dykes, A. Abdul-Rahman, D. Archambault, B. Bach, R. Borgo, M. Chen, J. Enright, H. Fang, E. E. Firat, E. Freeman, T Gönen, C. Harris, R. Jianu, N. W. John, S. Khan, A. Lahiff, R. S. Laramee, L. Matthews, S. Mohr, P. H. Nguyen, A. A. M. Rahat, R. Reeve, P. D. Ritsos, J. C. Roberts, A. Slingsby, B. Swallow, T. Torsney-Weir, C. Turkay, R. Turner, F. P. Vidal, Q. Wang, J. Wood, K. Xu. Visualization for epidemiological modelling: challenges, solutions, reflections & recommendations. Philosophical Transactions of the Royal Society A, 380(2233), 2022. DOI.
🟢N. Elmqvist. Data analytics anywhere and everywhere. Communications of the ACM, 66(12):52–63, 2023.
🟡E. E. Firat, B. Swallow, and R. S. Laramee. PCP-Ed: Parallel Coordinates Plots for Ensemble Data. In Proc. Visual Informatics, 2022. DOI. Video.
🟡T. Gonen, Y. Xing, C. Turkay, A. Abdul-Rahman, R. Jianu, H. Fang, E. Freeman, F. Vidal, and M. Chen. Visual analytics based search-analyze-forecast framework for epidemiological time-series data. In Proc. IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes), Melbourne, Australia, 2023. DOI.
🟡M. Y. Kabir and S. Madria. Coronavis: A real-time covid-19 tweets data analyzer and data repository, arXiv:2004.13932, 2020.
🟡F. Kaya, E. Celik, A. Ufuk Batmaz, A. K. Mutasim, W. Stuerzlinger. Evaluation of an Immersive COVID-19 Data Visualization. IEEE Computer Graphics and Applications, 43(1), 2023.
🟡A. Keshaviah, M. B. Diamond, M. J. Wade, S. V. Scarpino, W. Ahmed, F. Amman, O. Aruna, A. Badilla-Aguilar, I. Bar-Or, A. Bergthaler, J. E. Bines, A. W. Bivins, A. B. Boehm, J.-M. Brault, J.-B. Burnet, J. R. Chapman, A. Chaudhuri, A. M. de Roda Husman, R. Delatolla, J. J. Dennehy, M. B. Diamond, C. Donato, E. Duizer, A. Egwuenu, O. Erster, D. Fatta-Kassinos, A. Gaggero, D. F. Gilpin, B. J. Gilpin, T. E. Graber, C. A. Green, A. Handley, J. Hewitt, R. H. Holm, H. Insam, M. C. Johnson, R. Johnson, D. L. Jones, T. R. Julian, A. Jyothi, T. Kohn, K. G. Kuhn, G. La Rosa, M. Lesenfants, D. G. Manuel, P. M. D’Aoust, R. Markt, J. W. McGrath, G. Medema, C. L. Moe, I. K. Murni, H. Naser, C. C. Naughton, L. Ogorzaly, V. Oktaria, C. Ort, P. Karaolia, E. H. Patel, S. Paterson, M. Rahman, P. Rivera-Navarro, A. Robinson, M. C. Santa-Maria, H. Schmitt, T. Smith, L. B. Stadler, J. Stassijns, A. Stenico, R. A. Street, E. Suffredini, Z. Susswein, M. Trujillo, M. K. Wolfe, H. Yakubu, and M. I. Zanoli Sato. Wastewater monitoring can anchor global disease surveillance systems. The Lancet Global Health, 11(6):e976–e981, Jun 2023.
🟡S. Khan, P. H. Nguyen, A. Abdul-Rahman, B. Bach, M. Chen, E. Freeman, and C. Turkay. Propagating Visual Designs to Numerous Plots and Dashboards. IEEE Transactions on Visualization and Computer Graphics, 28(1): 86-95, 2022. DOI. (Presented at IEEE VIS 2021.)
🟡S. Khan, P. Nguyen, A. Abdul-Rahman, E. Freeman, C. Turkay, and M. Chen. Rapid development of a data visualization service in an emergency response. IEEE Transactions on Services Computing, 15(2):1251 - 1264, 2022. DOI.
🟡P. Kaur Betz, J. Stoll, V. Grappendorf, J. Gilg, M. Zeumer, M. Klitz, L. Spataro, A. Klein, L. Rothenhäuser, H. Bohnacker, H. Krämer, M. Meyer-Hermann, S. Somogyi, A. Gerndt, and M. J. Kühn. ESID: Exploring the design and development of a visual analytics Tool to epidemiological emergencies. In Proc. IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes), Melbourne, Australia, 2023.
🟢J. Mackinlay. Automating the design of graphical presentations of relational information. ACM Transactions on Graphics, 5(2):110–141, 1986.
🟢F. Martin Sanchez, K. Gray, R. Bellazzi, and G. Lopez-Campos. Exposome informatics: Considerations for the design of future biomedical research information systems. Journal of the American Medical Informatics Association, 21(3):386–390, 2013.
🟣L. Maxwell, P. Shreedhar, D. Dauga, P. McQuilton, R. Terry, A. Denisiuk, F. Molnar-Gabor, A. Saxena, and S.-A. Sansone. Fair, ethical, and coordinated data sharing for covid-19 response: a scoping review and cross-sectional survey of covid-19 data sharing platforms and registries. Lancet Digital Health, 5(10):e712–e736, 2023.
🟢F. McGee, R. McCall, and J. Baixauli. Comparison of spatial visualization techniques for radiation in augmented reality. In Proc. ACM CHI Conference on Human Factors in Computing Systems, New York, NY, USA, 2024.
🟡L. Padilla, R. Fygenson, S. C. Castro, E. Bertini. Multiple Forecast Visualizations (MFVs): Trade-offs in trust and performance in multiple COVID-19 forecast visualizations. IEEE Transactions on Visualization and Computer Graphics, 29(1):12-22, 2023.
🟡S. Rajeevan, S. Ramachandran, A. Poulose. Tableau-driven data analysis and visualization of COVID-19 cases in India. In Proc. 5th International Conference on Innovative Trends in Information Technology (ICITIIT), 2024.
🟢J. C. Roberts, P. D. Ritsos, S. K. Badam, D. Brodbeck, J. Kennedy, and N. Elmqvist. Visualization beyond the desktop – the next big thing. IEEE Computer Graphics and Applications, 34(6):26–34, 2014.
🟡E. Rydow, R. Borgo, H. Fang, T. Torsney-Weir, B. Swallow, T. Porphyre, C. Turkay, and M. Chen. Development and evaluation of two approaches of visual sensitivity analysis to support epidemiological modelling. IEEE Transactions on Visualization and Computer Graphics, 29(1):1255-1265, 2023. DOI. (Presented at IEEE VIS 2022)
🟢D. Sacha, M. Kraus, D. A. Keim, and M. Chen. VIS4ML: An ontology for visual analytics assisted machine learning. IEEE Transactions on Visualization and Computer Graphics, 25(1):385–395, 2019.
🟢M. Sedlmair, C. Heinzl, S. Bruckner, H. Piringer, and T. Möller. Visual parameter space analysis: A conceptual framework. IEEE Transactions on Visualization and Computer Graphics, 20(12):2161–2170, 2014.
🟢M. Sedlmair, M. Meyer, and T. Munzner. Design study methodology: Reflections from the trenches and the stacks. IEEE Transactions on Visualization and Computer Graphics, 18(12):2431–2440, 2012.
🟡N. Shadbolt, A. Brett, M. Chen, G. Marion, I. McKendrick, J. Panovska-Griffiths, I. Pellis, R. Reeve, and B. Swallow. The challenges of data in future pandemics. Epidemics, 40:100612, 2022. DOI.
🟡A. Slingsby, R. Reeve, and C. Harris. Gridded glyphmaps for supporting spatial COVID-19 modelling. In Proc. IEEE VIS Short Papers, Melbourne, Australia, 2023. DOI. (Best VIS2023 Short Paper.)
🟡M. Sondag, C. Turkay, K. Xu, L. Matthews, S. Mohr, and D. Archambault. Visual analytics of contact tracing policy simulations during an emergency response. Computer Graphics Forum, 41(3):29-41, 2022. DOI. (Presented at EuroVis 2022, EuroVis 2022 Honorable Mention.)
🟡A. Wentzel, L. Levine, V. Dhariwal, Z. Fatemi, A. Bhattacharya, B. Di Eugenio, A. Rojecki, E. Zheleva, G. E. Marai. A lens to pandemic stay at home attitudes. In Proc. IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes), Melbourne, Australia, 2023.
🟡Y. Zhang, Y. Sun, J. D. Gaggiano, N. Kumar, C. Andris, and A. G. Parker. Visualization design practices in a crisis: behind the scenes with COVID-19 dashboard creators. IEEE Transactions on Visualization and Computer Graphics, 29(1):1037-1047, 2023.
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