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Discrete-event simulation study of a COVID-19 mass vaccination centre
The global spread of COVID-19 and the declaration of the pandemic status made by the World Health Organization (WHO) led to the establishment of mass vaccination campaigns. The challenges posed by the request to immunise the entire population necessitated the set-up of new vaccination sites, named M...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728082/ https://www.ncbi.nlm.nih.gov/pubmed/36495700 http://dx.doi.org/10.1016/j.ijmedinf.2022.104940 |
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author | Sala, Francesca D'Urso, Gianluca Giardini, Claudio |
author_facet | Sala, Francesca D'Urso, Gianluca Giardini, Claudio |
author_sort | Sala, Francesca |
collection | PubMed |
description | The global spread of COVID-19 and the declaration of the pandemic status made by the World Health Organization (WHO) led to the establishment of mass vaccination campaigns. The challenges posed by the request to immunise the entire population necessitated the set-up of new vaccination sites, named Mass Vaccination Centres (MVCs), capable of handling large numbers of patients rapidly and safely. The present study focused on the evolution of MVC performances, in terms of the maximum number of vaccinated patients and primary resource utilisation ratio, while involving statistics belonging to the patient dimension. The research involved the creation of a digital model of the MVC, using the Discrete-Event Simulation (DES) software (FlexSim Healthcare), and consequent what-if analyses. The results were derived from the study of an existing facility, located within a sports centre in the province of Bergamo (Italy) and operating with an advanced MVC organisational model, in compliance with the national anti-SARS-CoV-2 legislation. The research provided additional evidence on innovative MVC organisational models, identifying an optimal MVC configuration. Besides, the obtained results remain relevant for countries where a significant portion of the population has not yet addressed the emergency, either for upcoming vaccination treatments. Furthermore, the methodology adopted in the present article proved to be a valuable resource in the analysis of the healthcare processes. |
format | Online Article Text |
id | pubmed-9728082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97280822022-12-07 Discrete-event simulation study of a COVID-19 mass vaccination centre Sala, Francesca D'Urso, Gianluca Giardini, Claudio Int J Med Inform Article The global spread of COVID-19 and the declaration of the pandemic status made by the World Health Organization (WHO) led to the establishment of mass vaccination campaigns. The challenges posed by the request to immunise the entire population necessitated the set-up of new vaccination sites, named Mass Vaccination Centres (MVCs), capable of handling large numbers of patients rapidly and safely. The present study focused on the evolution of MVC performances, in terms of the maximum number of vaccinated patients and primary resource utilisation ratio, while involving statistics belonging to the patient dimension. The research involved the creation of a digital model of the MVC, using the Discrete-Event Simulation (DES) software (FlexSim Healthcare), and consequent what-if analyses. The results were derived from the study of an existing facility, located within a sports centre in the province of Bergamo (Italy) and operating with an advanced MVC organisational model, in compliance with the national anti-SARS-CoV-2 legislation. The research provided additional evidence on innovative MVC organisational models, identifying an optimal MVC configuration. Besides, the obtained results remain relevant for countries where a significant portion of the population has not yet addressed the emergency, either for upcoming vaccination treatments. Furthermore, the methodology adopted in the present article proved to be a valuable resource in the analysis of the healthcare processes. Elsevier B.V. 2023-02 2022-11-28 /pmc/articles/PMC9728082/ /pubmed/36495700 http://dx.doi.org/10.1016/j.ijmedinf.2022.104940 Text en © 2022 Elsevier B.V. All rights reserved. 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 Sala, Francesca D'Urso, Gianluca Giardini, Claudio Discrete-event simulation study of a COVID-19 mass vaccination centre |
title | Discrete-event simulation study of a COVID-19 mass vaccination centre |
title_full | Discrete-event simulation study of a COVID-19 mass vaccination centre |
title_fullStr | Discrete-event simulation study of a COVID-19 mass vaccination centre |
title_full_unstemmed | Discrete-event simulation study of a COVID-19 mass vaccination centre |
title_short | Discrete-event simulation study of a COVID-19 mass vaccination centre |
title_sort | discrete-event simulation study of a covid-19 mass vaccination centre |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728082/ https://www.ncbi.nlm.nih.gov/pubmed/36495700 http://dx.doi.org/10.1016/j.ijmedinf.2022.104940 |
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