(2022) Visualization for epidemiological modelling : challenges, solutions, reflections and recommendations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380 (2233). 20210299. doi:10.1098/rsta.2021.0299

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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.

Item Type:	Journal Article
Alternative Title:
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > RA Public aspects of medicine
Divisions:	Faculty of Social Sciences > Centre for Interdisciplinary Methodologies
Library of Congress Subject Headings (LCSH):	COVID-19 Pandemic, 2020- , COVID-19 (Disease) -- Epidemiology -- Simulation methods, Visual analytics , COVID-19 (Disease) -- Transmission -- Mathematical models, Computer graphics , Visualization
Journal or Publication Title:	Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Publisher:	The Royal Society Publishing
ISSN:	1364-503X
Official Date:	3 October 2022
Dates:	Date Event 3 October 2022 Published 15 August 2022 Available 18 March 2022 Accepted
Volume:	380
Number:	2233
Article Number:	20210299
DOI:	10.1098/rsta.2021.0299
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access
Description:	Special issue on ‘Technical challenges of modelling real-life epidemics and examples of overcoming these’
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID EP/V054236/1 UK Research and Innovation http://dx.doi.org/10.13039/100014013 EP/V033670/1 [EPSRC] Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266 ST/V006126/1 [STFC] Science and Technology Facilities Council http://dx.doi.org/10.13039/501100000271
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Open Access Version:	ArXiv

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