Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Markhorst, Berend, Zver, Tara, Malbasic, Nina, Dijkstra, Renze, Otto, Daan, van der Mei, Rob, Moeke, Dennis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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
_version_ 1784588968643264512
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
work_keys_str_mv AT markhorstberend adatadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT zvertara adatadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT malbasicnina adatadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT dijkstrarenze adatadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT ottodaan adatadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT vandermeirob adatadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT moekedennis adatadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT markhorstberend datadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT zvertara datadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT malbasicnina datadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT dijkstrarenze datadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT ottodaan datadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT vandermeirob datadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess
AT moekedennis datadrivendigitalapplicationtoenhancethecapacityplanningofthecovid19vaccinationprocess