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How Can Hybrid Simulation Support Organizations in Assessing COVID-19 Containment Measures?
Simulation models have always been an aid in epidemiology for understanding the spread of epidemics and evaluating their containment policies. This paper illustrates how hybrid simulation can support companies in assessing COVID-19 containment measures in indoor environments. In particular, a Hybrid...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623759/ https://www.ncbi.nlm.nih.gov/pubmed/34828458 http://dx.doi.org/10.3390/healthcare9111412 |
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author | Cimini, Chiara Pezzotta, Giuditta Lagorio, Alexandra Pirola, Fabiana Cavalieri, Sergio |
author_facet | Cimini, Chiara Pezzotta, Giuditta Lagorio, Alexandra Pirola, Fabiana Cavalieri, Sergio |
author_sort | Cimini, Chiara |
collection | PubMed |
description | Simulation models have always been an aid in epidemiology for understanding the spread of epidemics and evaluating their containment policies. This paper illustrates how hybrid simulation can support companies in assessing COVID-19 containment measures in indoor environments. In particular, a Hybrid Simulation (HS) is presented. The HS model consists of an Agent-Based Simulation (ABS) to simulate the virus contagion model and a Discrete Event Simulation (DES) model to simulate the interactions between flows of people in an indoor environment. Compared with previous works in the field of simulation and COVID-19, this study provides the possibility to model the specific behaviors of individuals moving in time and space and the proposed HS model could be adapted to several epidemiological conditions (just setting different parameters in the agent-based model) and different kinds of facilities. The HS approach has been developed and then successfully tested with a real case study related to a university campus in northern Italy. The case study highlights the potentials of hybrid simulation in assessing the effectiveness of the containment measures adopted during the period under examination in the pandemic context. From a managerial perspective, this study, exploiting the complementarity of the ABM and DES approaches in a HS model, provides a complete and usable tool to support decision-makers in evaluating different contagion containment measures. |
format | Online Article Text |
id | pubmed-8623759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86237592021-11-27 How Can Hybrid Simulation Support Organizations in Assessing COVID-19 Containment Measures? Cimini, Chiara Pezzotta, Giuditta Lagorio, Alexandra Pirola, Fabiana Cavalieri, Sergio Healthcare (Basel) Article Simulation models have always been an aid in epidemiology for understanding the spread of epidemics and evaluating their containment policies. This paper illustrates how hybrid simulation can support companies in assessing COVID-19 containment measures in indoor environments. In particular, a Hybrid Simulation (HS) is presented. The HS model consists of an Agent-Based Simulation (ABS) to simulate the virus contagion model and a Discrete Event Simulation (DES) model to simulate the interactions between flows of people in an indoor environment. Compared with previous works in the field of simulation and COVID-19, this study provides the possibility to model the specific behaviors of individuals moving in time and space and the proposed HS model could be adapted to several epidemiological conditions (just setting different parameters in the agent-based model) and different kinds of facilities. The HS approach has been developed and then successfully tested with a real case study related to a university campus in northern Italy. The case study highlights the potentials of hybrid simulation in assessing the effectiveness of the containment measures adopted during the period under examination in the pandemic context. From a managerial perspective, this study, exploiting the complementarity of the ABM and DES approaches in a HS model, provides a complete and usable tool to support decision-makers in evaluating different contagion containment measures. MDPI 2021-10-21 /pmc/articles/PMC8623759/ /pubmed/34828458 http://dx.doi.org/10.3390/healthcare9111412 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cimini, Chiara Pezzotta, Giuditta Lagorio, Alexandra Pirola, Fabiana Cavalieri, Sergio How Can Hybrid Simulation Support Organizations in Assessing COVID-19 Containment Measures? |
title | How Can Hybrid Simulation Support Organizations in Assessing COVID-19 Containment Measures? |
title_full | How Can Hybrid Simulation Support Organizations in Assessing COVID-19 Containment Measures? |
title_fullStr | How Can Hybrid Simulation Support Organizations in Assessing COVID-19 Containment Measures? |
title_full_unstemmed | How Can Hybrid Simulation Support Organizations in Assessing COVID-19 Containment Measures? |
title_short | How Can Hybrid Simulation Support Organizations in Assessing COVID-19 Containment Measures? |
title_sort | how can hybrid simulation support organizations in assessing covid-19 containment measures? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623759/ https://www.ncbi.nlm.nih.gov/pubmed/34828458 http://dx.doi.org/10.3390/healthcare9111412 |
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