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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2021
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Materias: | |
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 |
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author | Regulski, Piotr Wendykier, Piotr Kantiem, Kerstin Murdzek, Wiktor |
author_facet | Regulski, Piotr Wendykier, Piotr Kantiem, Kerstin Murdzek, Wiktor |
author_sort | Regulski, Piotr |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8486226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84862262021-10-04 Advanced methods of visual analysis and visualization of various aspects of the COVID-19 outbreak in Poland Regulski, Piotr Wendykier, Piotr Kantiem, Kerstin Murdzek, Wiktor Procedia Comput Sci Article 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. The Author(s). Published by Elsevier B.V. 2021 2021-10-01 /pmc/articles/PMC8486226/ /pubmed/34630760 http://dx.doi.org/10.1016/j.procs.2021.09.195 Text en © 2021 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Regulski, Piotr Wendykier, Piotr Kantiem, Kerstin Murdzek, Wiktor Advanced methods of visual analysis and visualization of various aspects of the COVID-19 outbreak in Poland |
title | Advanced methods of visual analysis and visualization of various aspects of the COVID-19 outbreak in Poland |
title_full | Advanced methods of visual analysis and visualization of various aspects of the COVID-19 outbreak in Poland |
title_fullStr | Advanced methods of visual analysis and visualization of various aspects of the COVID-19 outbreak in Poland |
title_full_unstemmed | Advanced methods of visual analysis and visualization of various aspects of the COVID-19 outbreak in Poland |
title_short | Advanced methods of visual analysis and visualization of various aspects of the COVID-19 outbreak in Poland |
title_sort | advanced methods of visual analysis and visualization of various aspects of the covid-19 outbreak in poland |
topic | Article |
url | 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 |
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