RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses

The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more. In addition to numerous challenges in epidemiology, healthcare, biosciences, and social sciences, there has been...

Full description

Saved in:
Bibliographic Details
Main Authors: Min Chen, Alfie Abdul-Rahman, Daniel Archambault, Jason Dykes, Panagiotis Ritsos, Aidan Slingsby, Thomas Torsney-Weir, Cagatay Turkay, Benjamin Bach, Rita Borgo, Alys Brett, Hui Fang, Radu Jianu, Saiful Khan, Robert Laramee, Louise Matthews, Phong Hai Nguyen, Richard Reeve, Jonathan Roberts, Franck Vidal, Qiru Wang, Joseph Wood, Kai Xu
Format: Default Article
Published: 2022
Subjects:
Data visualization
Visual analytics
Pandemic responses
COVID-19
Model development
Online Access:https://hdl.handle.net/2134/19619793.v1
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items