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Visual analytics of contact tracing policy simulations during an emergency response
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Sondag, M., Turkay, Cagatay, Xu, K., Matthews, L., Mohr, S. and Archambault, D. (2022) Visual analytics of contact tracing policy simulations during an emergency response. Computer Graphics Forum, 41 (3). pp. 29-41. doi:10.1111/cgf.14520 ISSN 0167-7055.
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Official URL: https://doi.org/10.1111/cgf.14520
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: | Journal Article | |||||||||||||||
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Subjects: | R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine | |||||||||||||||
Divisions: | Faculty of Social Sciences > Centre for Interdisciplinary Methodologies | |||||||||||||||
SWORD Depositor: | Library Publications Router | |||||||||||||||
Library of Congress Subject Headings (LCSH): | Contact tracing (Epidemiology), Medical Informatics, Visual analytics | |||||||||||||||
Journal or Publication Title: | Computer Graphics Forum | |||||||||||||||
Publisher: | Wiley | |||||||||||||||
ISSN: | 0167-7055 | |||||||||||||||
Official Date: | 29 July 2022 | |||||||||||||||
Dates: |
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Volume: | 41 | |||||||||||||||
Number: | 3 | |||||||||||||||
Page Range: | pp. 29-41 | |||||||||||||||
DOI: | 10.1111/cgf.14520 | |||||||||||||||
Status: | Peer Reviewed | |||||||||||||||
Publication Status: | Published | |||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||
Copyright Holders: | © 2022 The Authors. Computer Graphics Forum published by Eurographics - The European Association for Computer Graphics and John Wiley & Sons Ltd. | |||||||||||||||
Date of first compliant deposit: | 1 September 2022 | |||||||||||||||
Date of first compliant Open Access: | 1 September 2022 | |||||||||||||||
RIOXX Funder/Project Grant: |
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