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A Data-Driven Digital Application to Enhance the Capacity Planning of the COVID-19 Vaccination Process
In this paper, a decision support system (DSS) is presented that focuses on the capacity planning of the COVID-19 vaccination process in the Netherlands. With the Dutch national vaccination priority list as the starting point, the DSS aims to minimize the per-class waiting-time with respect to (1) t...
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/PMC8540361/ https://www.ncbi.nlm.nih.gov/pubmed/34696289 http://dx.doi.org/10.3390/vaccines9101181 |
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author | Markhorst, Berend Zver, Tara Malbasic, Nina Dijkstra, Renze Otto, Daan van der Mei, Rob Moeke, Dennis |
author_facet | Markhorst, Berend Zver, Tara Malbasic, Nina Dijkstra, Renze Otto, Daan van der Mei, Rob Moeke, Dennis |
author_sort | Markhorst, Berend |
collection | PubMed |
description | In this paper, a decision support system (DSS) is presented that focuses on the capacity planning of the COVID-19 vaccination process in the Netherlands. With the Dutch national vaccination priority list as the starting point, the DSS aims to minimize the per-class waiting-time with respect to (1) the locations of the medical hubs (i.e., the vaccination locations) and (2) the distribution of the available vaccines and healthcare professionals (over time). As the user is given the freedom to experiment with different starting positions and strategies, the DSS is ideally suited for providing support in the dynamic environment of the COVID-19 vaccination process. In addition to the DSS, a mathematical model to support the assignment of inhabitants to medical hubs is presented. This model has been satisfactorily implemented in practice in close collaboration with the Dutch Municipal and Regional Health Service (GGD GHOR Nederland). |
format | Online Article Text |
id | pubmed-8540361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85403612021-10-24 A Data-Driven Digital Application to Enhance the Capacity Planning of the COVID-19 Vaccination Process Markhorst, Berend Zver, Tara Malbasic, Nina Dijkstra, Renze Otto, Daan van der Mei, Rob Moeke, Dennis Vaccines (Basel) Article In this paper, a decision support system (DSS) is presented that focuses on the capacity planning of the COVID-19 vaccination process in the Netherlands. With the Dutch national vaccination priority list as the starting point, the DSS aims to minimize the per-class waiting-time with respect to (1) the locations of the medical hubs (i.e., the vaccination locations) and (2) the distribution of the available vaccines and healthcare professionals (over time). As the user is given the freedom to experiment with different starting positions and strategies, the DSS is ideally suited for providing support in the dynamic environment of the COVID-19 vaccination process. In addition to the DSS, a mathematical model to support the assignment of inhabitants to medical hubs is presented. This model has been satisfactorily implemented in practice in close collaboration with the Dutch Municipal and Regional Health Service (GGD GHOR Nederland). MDPI 2021-10-15 /pmc/articles/PMC8540361/ /pubmed/34696289 http://dx.doi.org/10.3390/vaccines9101181 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 Markhorst, Berend Zver, Tara Malbasic, Nina Dijkstra, Renze Otto, Daan van der Mei, Rob Moeke, Dennis A Data-Driven Digital Application to Enhance the Capacity Planning of the COVID-19 Vaccination Process |
title | A Data-Driven Digital Application to Enhance the Capacity Planning of the COVID-19 Vaccination Process |
title_full | A Data-Driven Digital Application to Enhance the Capacity Planning of the COVID-19 Vaccination Process |
title_fullStr | A Data-Driven Digital Application to Enhance the Capacity Planning of the COVID-19 Vaccination Process |
title_full_unstemmed | A Data-Driven Digital Application to Enhance the Capacity Planning of the COVID-19 Vaccination Process |
title_short | A Data-Driven Digital Application to Enhance the Capacity Planning of the COVID-19 Vaccination Process |
title_sort | data-driven digital application to enhance the capacity planning of the covid-19 vaccination process |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540361/ https://www.ncbi.nlm.nih.gov/pubmed/34696289 http://dx.doi.org/10.3390/vaccines9101181 |
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