Cargando…

An Agent-Based Covid-19 Simulator: Extending Covasim to the Polish Context

Governments all over the world make their best to fight with Covid-19 pandemic as effectively as possible. Therefore, we observed a growing need of trustworthy data-intensive systems supporting administration in validating their policy decisions. ProMES, the Covasim-based multiagent pandemic simulat...

Descripción completa

Detalles Bibliográficos
Autores principales: Latkowski, Rafał, Dunin-Kȩplicz, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486257/
https://www.ncbi.nlm.nih.gov/pubmed/34630753
http://dx.doi.org/10.1016/j.procs.2021.09.134
_version_ 1784577711885254656
author Latkowski, Rafał
Dunin-Kȩplicz, Barbara
author_facet Latkowski, Rafał
Dunin-Kȩplicz, Barbara
author_sort Latkowski, Rafał
collection PubMed
description Governments all over the world make their best to fight with Covid-19 pandemic as effectively as possible. Therefore, we observed a growing need of trustworthy data-intensive systems supporting administration in validating their policy decisions. ProMES, the Covasim-based multiagent pandemic simulator, may serve as such a system, adjusted to the specificity of living, working and social conditions in Poland. The main role of ProMES is to evaluate and compare strategies for reducing Covid-19 transmissions. The strategies include time- and region-dependent combinations of nonpharmaceutical coronavirus-related individual and state interventions, tests and vaccinations. Ultimately, ProMES is meant to serve as a part of data/knowledge intensive decision support system, enhancing administrative reactivity as well as pro-activity in preventing the spread of the coronavirus. This paper reports a work in progress.
format Online
Article
Text
id pubmed-8486257
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-84862572021-10-04 An Agent-Based Covid-19 Simulator: Extending Covasim to the Polish Context Latkowski, Rafał Dunin-Kȩplicz, Barbara Procedia Comput Sci Article Governments all over the world make their best to fight with Covid-19 pandemic as effectively as possible. Therefore, we observed a growing need of trustworthy data-intensive systems supporting administration in validating their policy decisions. ProMES, the Covasim-based multiagent pandemic simulator, may serve as such a system, adjusted to the specificity of living, working and social conditions in Poland. The main role of ProMES is to evaluate and compare strategies for reducing Covid-19 transmissions. The strategies include time- and region-dependent combinations of nonpharmaceutical coronavirus-related individual and state interventions, tests and vaccinations. Ultimately, ProMES is meant to serve as a part of data/knowledge intensive decision support system, enhancing administrative reactivity as well as pro-activity in preventing the spread of the coronavirus. This paper reports a work in progress. The Author(s). Published by Elsevier B.V. 2021 2021-10-01 /pmc/articles/PMC8486257/ /pubmed/34630753 http://dx.doi.org/10.1016/j.procs.2021.09.134 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
Latkowski, Rafał
Dunin-Kȩplicz, Barbara
An Agent-Based Covid-19 Simulator: Extending Covasim to the Polish Context
title An Agent-Based Covid-19 Simulator: Extending Covasim to the Polish Context
title_full An Agent-Based Covid-19 Simulator: Extending Covasim to the Polish Context
title_fullStr An Agent-Based Covid-19 Simulator: Extending Covasim to the Polish Context
title_full_unstemmed An Agent-Based Covid-19 Simulator: Extending Covasim to the Polish Context
title_short An Agent-Based Covid-19 Simulator: Extending Covasim to the Polish Context
title_sort agent-based covid-19 simulator: extending covasim to the polish context
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486257/
https://www.ncbi.nlm.nih.gov/pubmed/34630753
http://dx.doi.org/10.1016/j.procs.2021.09.134
work_keys_str_mv AT latkowskirafał anagentbasedcovid19simulatorextendingcovasimtothepolishcontext
AT duninkepliczbarbara anagentbasedcovid19simulatorextendingcovasimtothepolishcontext
AT latkowskirafał agentbasedcovid19simulatorextendingcovasimtothepolishcontext
AT duninkepliczbarbara agentbasedcovid19simulatorextendingcovasimtothepolishcontext