Advanced methods of visual analysis and visualization of various aspects of the COVID-19 outbreak in Poland

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 t...

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Detalles Bibliográficos
Autores principales: Regulski, Piotr, Wendykier, Piotr, Kantiem, Kerstin, Murdzek, Wiktor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486226/
https://www.ncbi.nlm.nih.gov/pubmed/34630760
http://dx.doi.org/10.1016/j.procs.2021.09.195
Descripción
Sumario: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.

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