Visualization for epidemiological modelling : challenges, solutions, reflections and recommendations

Dykes, J., Abdul-Rahman, A., Archambault, D. et al. (30 more authors) (2022) Visualization for epidemiological modelling : challenges, solutions, reflections and recommendations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380 (2233). ISSN 1364-503X

Abstract

Metadata

Authors/Creators:
  • Dykes, J.
  • Abdul-Rahman, A.
  • Archambault, D.
  • Bach, B.
  • Borgo, R.
  • Chen, M.
  • Enright, J.
  • Fang, H.
  • Firat, E.E.
  • Freeman, E.
  • Gönen, T.
  • Harris, C.
  • Jianu, R.
  • John, N.W.
  • Khan, S.
  • Lahiff, A.
  • Laramee, R.S.
  • Matthews, L.
  • Mohr, S.
  • Nguyen, P.H.
  • Rahat, A.A.M.
  • Reeve, R.
  • Ritsos, P.D.
  • Roberts, J.C.
  • Slingsby, A.
  • Swallow, B.
  • Torsney-Weir, T.
  • Turkay, C.
  • Turner, R. ORCID logo https://orcid.org/0000-0002-1353-1404
  • Vidal, F.P.
  • Wang, Q.
  • Wood, J.
  • Xu, K.
Copyright, Publisher and Additional Information: © 2022 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Keywords: computational notebooks; epidemiological modelling; visual analytics; visual design; visualization; COVID-19; Humans; Pandemics
Dates:
  • Accepted: 18 March 2022
  • Published (online): 15 August 2022
  • Published: 3 October 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
Science and Technology Facilities CouncilST/V006126/1
Depositing User: Symplectic Sheffield
Date Deposited: 25 Aug 2022 07:46
Last Modified: 25 Aug 2022 07:46
Status: Published
Publisher: The Royal Society
Refereed: Yes
Identification Number: https://doi.org/10.1098/rsta.2021.0299
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