Advanced methods of visual analysis and visualization of various aspects of the COVID-19 outbreak in Poland.
COVID-19
predictive modelling
visual analysis
Journal
Procedia computer science
ISSN: 1877-0509
Titre abrégé: Procedia Comput Sci
Pays: Netherlands
ID NLM: 101537771
Informations de publication
Date de publication:
2021
2021
Historique:
entrez:
11
10
2021
pubmed:
12
10
2021
medline:
12
10
2021
Statut:
ppublish
Résumé
The COVID-19 epidemic propagation computational models generate datasets that exhibit multi-level and time granulation. The Predictive Modelling of the Spatial Propagation of the COVID-19 Pandemic Project (ProME) has produced multi-scenario, multi-agent models for decision making support assessing the impact on the healthcare and the general population. In this paper we present the interactive software developed for models' calibration and visual analysis, addressing the needs of all aspects of data analytics and modeling that arise within ProME system. In order to deal with the Project's tasks we developed the application based on multi-modal, open-source VisNow platform.
Identifiants
pubmed: 34630760
doi: 10.1016/j.procs.2021.09.195
pii: S1877-0509(21)01934-7
pmc: PMC8486226
doi:
Types de publication
Journal Article
Langues
eng
Pagination
4194-4199Informations de copyright
© 2021 The Author(s). Published by Elsevier B.V.