The COVID-19 Pandemic is touching every part of our interconnected world. Its impact is being felt in all parts of our lives. An enormous number of visualizations designed to communicate, understand, analyze, and predict a constantly changing situation are appearing on the Internet every day, created by our biomedical community, health care systems, governments, news media, and the data visualization community at large.
As an initial foray into this research space, we conducted a comprehensive review 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.
This project is funded by the National Science Foundation and Google. For more information about this project, please visit https://zjanice.github.io/COVID-19-VIS
- Andrea Parker (Principal Investigator)
- Yixuan (Janice) Zhang (PhD Student)
- New York University
- University of California Merced
- College of William & Mary
- Northeastern University
Yixuan Zhang, Yifan Sun, Lace Padilla, Sumit Barua, Enrico Bertini, and Andrea G Parker. 2021. Mapping the Landscape of COVID-19 Crisis Visualizations. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21). Association for Computing Machinery, New York, NY, USA, Article 608, 1–23. DOI: https://doi.org/10.1145/3411764.3445381