Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations

We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs—a series of ideas, approaches and methods taken from existing visualization research and practice—deployed and developed to support modelling...

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Detalles Bibliográficos
Autores principales: Dykes, Jason, Abdul-Rahman, Alfie, Archambault, Daniel, Bach, Benjamin, Borgo, Rita, Chen, Min, Enright, Jessica, Fang, Hui, Firat, Elif E., Freeman, Euan, Gönen, Tuna, Harris, Claire, Jianu, Radu, John, Nigel W., Khan, Saiful, Lahiff, Andrew, Laramee, Robert S., Matthews, Louise, Mohr, Sibylle, Nguyen, Phong H., Rahat, Alma A. M., Reeve, Richard, Ritsos, Panagiotis D., Roberts, Jonathan C., Slingsby, Aidan, Swallow, Ben, Torsney-Weir, Thomas, Turkay, Cagatay, Turner, Robert, Vidal, Franck P., Wang, Qiru, Wood, Jo, Xu, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376715/
https://www.ncbi.nlm.nih.gov/pubmed/35965467
http://dx.doi.org/10.1098/rsta.2021.0299

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376715/
https://www.ncbi.nlm.nih.gov/pubmed/35965467
http://dx.doi.org/10.1098/rsta.2021.0299

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