RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses

Autor: Chen, M., Abdul-Rahman, A., Archambault, D., Dykes, J., Slingsby, A., Ritsos, P. D., Torsney-Weir, T., Turkay, C., Bach, B., Brett, A., Fang, H., Jianu, R., Khan, S., Laramee, R. S., Nguyen, P. H., Reeve, R., Roberts, J. C., Vidal, F., Wang, Q., Wood, J., Xu, K.

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

Externí odkaz: http://arxiv.org/abs/2012.04757

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

Autor: 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.

Publikováno v: In Epidemics June 2022 39

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations

Autor: Dykes, J, Abdul-Rahman, A, Archambault, D, Bach, B, Borgo, R, Chen, M, Enright, J, Fang, H, Firat, EE, Freeman, E, Gönen, T, Harris, C, Jianu, R, John, NW, Khan, S, Lahiff, A, Laramee, RS, Matthews, L, Mohr, S, Nguyen, PH, Rahat, AAM, Reeve, R, Ritsos, PD, Roberts, JC, Slingsby, A, Swallow, B, Torsney-Weir, T, Turkay, C, Turner, R, Vidal, FP, Wang, Q, Wood, J, Xu, K

Publikováno v: Dykes, J, Abdul-Rahman, A, Archambault, D, Bach, B, Borgo, R, Chen, M, Enright, J, Fang, H, Firat, E E, Freeman, E, Gonen, T, Harris, C, Jianu, R, John, N W, Khan, S, Lahiff, A, Laramee, R S, Matthews, L, Mohr, S, Nguyen, P H, Rahat, A A M, Reeve, R, Ritsos, P D, Roberts, J C, Slingsby, A, Swallow, B, Torsney-Weir, T, Turkay, C, Turner, R, Vidal, F P, Wang, Q, Wood, J & Xu, K 2022, ' Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations ', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 380, no. 2233, 20210299 . https://doi.org/10.1098/rsta.2021.0299
Dykes, J, Abdul-Rahman, A, Archambault, D, Bach, B, Borgo, R, Chen, M, Enright, J, Fang, H, Firat, E, Freeman, E, Gonen, T, Harris, C, Jianu, R, John, N, Khan, S, Lahiff, A, Laramee, R S, Matthews, L, Mohr, S, Nguyen, P, Rahat, A, Reeve, R, Ritsos, P, Roberts, J, Slingsby, A, Swallow, B, Torsney-Weir, T, Turkay, C, Turner, R, Vidal, F, Wang, Q, Wood, J & Xu, K 2022, ' Visualization for epidemiological modelling : challenges, solutions, reflections and recommendations ', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 380, no. 2233, 20210299 . https://doi.org/10.1098/rsta.2021.0299

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 p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51242583149eeab9bfaa4ce792fc3457
http://arxiv.org/abs/2204.06946

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.