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
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

4194-4199

Informations de copyright

© 2021 The Author(s). Published by Elsevier B.V.

Auteurs

Piotr Regulski (P)

Center of Digital Science and Technology, Cardinal Stefan Wyszynski University in Warsaw, Dewajtis 5, 01-815 Warsaw, Poland.
Department of Dental and Maxillofacial Radiology, Medical University of Warsaw, Binieckiego 6, 02-097 Warsaw, Poland.

Piotr Wendykier (P)

Center of Digital Science and Technology, Cardinal Stefan Wyszynski University in Warsaw, Dewajtis 5, 01-815 Warsaw, Poland.

Kerstin Kantiem (K)

Center of Digital Science and Technology, Cardinal Stefan Wyszynski University in Warsaw, Dewajtis 5, 01-815 Warsaw, Poland.

Wiktor Murdzek (W)

Center of Digital Science and Technology, Cardinal Stefan Wyszynski University in Warsaw, Dewajtis 5, 01-815 Warsaw, Poland.

Classifications MeSH