Uncovering chains of infections through spatio-temporal and visual analysis of COVID-19 contact traces

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Dario Antweiler, David Sessler, Maxim Rossknecht, Benjamin Abb, Sebastian Ginzel, Jörn Kohlhammer

Published: 01 Jan 2022, Last Modified: 09 Dec 2024Comput. Graph. 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Visual analysis of infections supports the work of public health experts in new ways.•We can predict undocumented links between infected persons from few features.•Geospatial, temporal and graph visualization provide insights into the infection data.•Public health experts give positive feedback on the visual analytics framework.