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...

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Detalles Bibliográficos
Autores principales: Chen, M., Abdul-Rahman, A., Archambault, D., Dykes, J., Ritsos, P.D., Slingsby, A., Torsney-Weir, T., Turkay, C., Bach, B., Borgo, R., Brett, A., Fang, H., Jianu, R., Khan, S., Laramee, R.S., Matthews, L., Nguyen, P.H., Reeve, R., Roberts, J.C., Vidal, F.P., Wang, Q., Wood, J., Xu, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045880/
https://www.ncbi.nlm.nih.gov/pubmed/35597098
http://dx.doi.org/10.1016/j.epidem.2022.100569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045880/
https://www.ncbi.nlm.nih.gov/pubmed/35597098
http://dx.doi.org/10.1016/j.epidem.2022.100569

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