research-article

Mapping the Landscape of COVID-19 Crisis Visualizations

Authors:

Enrico Bertini,

Andrea G ParkerAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 608, Pages 1 - 23

https://doi.org/10.1145/3411764.3445381

Published: 07 May 2021 Publication History

Abstract

In response to COVID-19, a vast number of visualizations have been created to communicate information to the public. Information exposure in a public health crisis can impact people’s attitudes towards and responses to the crisis and risks, and ultimately the trajectory of a pandemic. As such, there is a need for work that documents, organizes, and investigates what COVID-19 visualizations have been presented to the public. We address this gap through an analysis of 668 COVID-19 visualizations. We present our findings through a conceptual framework derived from our analysis, that examines who, (uses) what data, (to communicate) what messages, in what form, under what circumstances in the context of COVID-19 crisis visualizations. We provide a set of factors to be considered within each component of the framework. We conclude with directions for future crisis visualization research.

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Cited By

Roelofs BWeitkamp G(2024)Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mappingGeospatial Health10.4081/gh.2024.128719:2Online publication date: 23-Oct-2024
https://doi.org/10.4081/gh.2024.1287
Patel ABaxter WPorat T(2024)Toward Guidelines for Designing Holistic Integrated Information Visualizations for Time-Critical Contexts: Systematic ReviewJournal of Medical Internet Research10.2196/5808826(e58088)Online publication date: 20-Nov-2024
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Tong J(2024)Diagrammatic thinking and audience reading of COVID-19 data visualisations: A UK case studyConvergence: The International Journal of Research into New Media Technologies10.1177/13548565241309886Online publication date: 18-Dec-2024
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Index Terms

Mapping the Landscape of COVID-19 Crisis Visualizations
1. Human-centered computing
2. Social and professional topics

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

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Tohoku University, Japan
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The University of Tokyo, Japan
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Microsoft Research, USA

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Roelofs BWeitkamp G(2024)Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mappingGeospatial Health10.4081/gh.2024.128719:2Online publication date: 23-Oct-2024
https://doi.org/10.4081/gh.2024.1287
Patel ABaxter WPorat T(2024)Toward Guidelines for Designing Holistic Integrated Information Visualizations for Time-Critical Contexts: Systematic ReviewJournal of Medical Internet Research10.2196/5808826(e58088)Online publication date: 20-Nov-2024
https://doi.org/10.2196/58088
Tong J(2024)Diagrammatic thinking and audience reading of COVID-19 data visualisations: A UK case studyConvergence: The International Journal of Research into New Media Technologies10.1177/13548565241309886Online publication date: 18-Dec-2024
https://doi.org/10.1177/13548565241309886
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https://doi.org/10.1177/10525629241288266
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Gordon EHarlow JWhitman SLee M(2024)Data Discretion: Screen-Level Bureaucrats and Municipal Decision-MakingDigital Government: Research and Practice10.1145/36529505:2(1-14)Online publication date: 19-Jun-2024
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He CHe LYang WLi B(2024)Images Connect Us Together: Navigating a COVID-19 Local Outbreak in China Through Social Media ImagesProceedings of the ACM on Human-Computer Interaction10.1145/36373498:CSCW1(1-32)Online publication date: 26-Apr-2024
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Cai MKay M(2024)Watching the Election Sausage Get Made: How Data Journalists Visualize the Vote Counting Process in U.S. ElectionsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642329(1-19)Online publication date: 11-May-2024
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Matzen LStites MDivis KBendeck AStasko JPadilla L(2024)Effects of Forecast Order, Cost, and Risk on Decision Making with Multiple Forecast Visualizations2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks10.1109/UncertaintyVisualization63963.2024.00008(28-37)Online publication date: 14-Oct-2024
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