Journal article 567 views 34 downloads
Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations
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Alfie Abdul-Rahman ,
Daniel Archambault ,
Benjamin Bach ,
Rita Borgo ,
Min Chen ,
Jessica Enright,
Hui Fang,
Elif E. Firat ,
Euan Freeman ,
Tuna Gönen ,
Claire Harris ,
Radu Jianu ,
Nigel W. John ,
Saiful Khan,
Andrew Lahiff ,
Robert S. Laramee,
Louise Matthews ,
Sibylle Mohr ,
Phong H. Nguyen,
Alma Rahat ,
Richard Reeve ,
Panagiotis D. Ritsos ,
Jonathan C. Roberts ,
Aidan Slingsby ,
Ben Swallow ,
Tom Torsney-Weir ,
Cagatay Turkay ,
Robert Turner,
Franck P. Vidal ,
Qiru Wang ,
Jo Wood ,
Kai Xu
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Volume: 380, Issue: 2233
Swansea University Authors:
Daniel Archambault , Rita Borgo , Alma Rahat , Tom Torsney-Weir
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Copyright: 2022 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License
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DOI (Published version): 10.1098/rsta.2021.0299
Abstract
We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs—a series of ideas, approaches and methods taken from existing visualization research and practice—deployed and developed to support modelling...
| Published in: | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
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| ISSN: | 1364-503X 1471-2962 |
| Published: |
The Royal Society
2022
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa59890 |
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| Abstract: |
We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs—a series of ideas, approaches and methods taken from existing visualization research and practice—deployed and developed to support modelling of the COVID-19 pandemic. Structured independent commentary on these efforts is synthesized through iterative reflection to develop: evidence of the effectiveness and value of visualization in this context; open problems upon which the research communities may focus; guidance for future activity of this type and recommendations to safeguard the achievements and promote, advance, secure and prepare for future collaborations of this kind. In describing and comparing a series of related projects that were undertaken in unprecedented conditions, our hope is that this unique report, and its rich interactive supplementary materials, will guide the scientific community in embracing visualization in its observation, analysis and modelling of data as well as in disseminating findings. Equally we hope to encourage the visualization community to engage with impactful science in addressing its emerging data challenges. If we are successful, this showcase of activity may stimulate mutually beneficial engagement between communities with complementary expertise to address problems of significance in epidemiology and beyond. |
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| Keywords: |
visualization, visual analytics, epidemiologicalmodelling, computational notebooks, visualdesign |
| College: |
Faculty of Science and Engineering |
| Funders: |
RAMP VIS: Making Visual Analytics an Integral Part of the Technological Infrastructure for Combating COVID-19
Funder: Engineering and Physical Sciences Research Council (EPSRC)
Visual Analytics for Explaining and Analysing Contact Tracing Networks
Funder: Engineering and Physical Sciences Research Council (EPSRC) |
| Issue: |
2233 |