Visual analytics of contact tracing policy simulations during an emergency response

Sondag, M. ORCID logoORCID: https://orcid.org/0000-0003-3309-638X, Turkay, C. ORCID logoORCID: https://orcid.org/0000-0001-6788-251X, Xu, Kai ORCID logoORCID: https://orcid.org/0000-0003-2242-5440, Matthews, L. ORCID logoORCID: https://orcid.org/0000-0003-4420-8367, Mohr, S. ORCID logoORCID: https://orcid.org/0000-0002-9089-6327 and Archambault, D. ORCID logoORCID: https://orcid.org/0000-0003-4978-8479 (2022) Visual analytics of contact tracing policy simulations during an emergency response. Computer Graphics Forum, 41 (3) . pp. 29-41. ISSN 0167-7055 [Article] (doi:10.1111/cgf.14520)

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Abstract

Epidemiologists use individual-based models to (a) simulate disease spread over dynamic contact networks and (b) to investigate strategies to control the outbreak. These model simulations generate complex ‘infection maps’ of time-varying transmission trees and patterns of spread. Conventional statistical analysis of outputs offers only limited interpretation. This paper presents a novel visual analytics approach for the inspection of infection maps along with their associated metadata, developed collaboratively over 16 months in an evolving emergency response situation. We introduce the concept of representative trees that summarize the many components of a time-varying infection map while preserving the epidemiological characteristics of each individual transmission tree. We also present interactive visualization techniques for the quick assessment of different control policies. Through a series of case studies and a qualitative evaluation by epidemiologists, we demonstrate how our visualizations can help improve the development of epidemiological models and help interpret complex transmission patterns.

Item Type: Article
Keywords (uncontrolled): CCS Concepts •Applied computing→Health informatics; •Human-centered computing→Visualization design and evaluation methods; Visual analytics
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 35528
Notes on copyright: © 2022 The Authors. Computer Graphics Forum published by Eurographics - The European Association for Computer Graphics and John Wiley & Sons Ltd.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Depositing User: Jisc Publications Router
Date Deposited: 09 Aug 2022 08:31
Last Modified: 09 Aug 2022 09:16
URI: https://eprints.mdx.ac.uk/id/eprint/35528

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