{"title":"基于计划的大规模疫苗接种诊所的模拟","authors":"Ludovica Adacher, Marta Flamini, Maurizio Naldi","doi":"10.1080/17477778.2023.2260348","DOIUrl":null,"url":null,"abstract":"ABSTRACTThe insurgence of the COVID-19 pandemic has compelled many countries to set up vaccination clinics to carry out mass vaccination campaigns. Though sizing a clinic impacts both costs and service quality, and costs must be scaled up nationwide, those clinics and their staffing have often been put into service without a proper design phase. In this paper, we propose a simulator that allows us to analyse a vaccination clinic’s performance and optimise its capacity and staff level, considering typical schedule-based operations. Though a trade-off is unavoidable between cost and service quality, the latter being represented by the throughput time, we show that we can achieve a significant increase in the efficient use of nurses’ time with a small sacrifice in service quality, i.e., a small increase of the throughput time.KEYWORDS: Vaccinationpandemicsdecision support systemshealth managementvaccination clinicsCOVID-19 Disclosure statementNo potential conflict of interest was reported by the authors.Notes1. www.cdc.gov/vaccines/covid-19/info-by-product/clinical-considerations2. The data of the U.S. Bureau of Labor Statistic concerning registered nurses can be retrieved on the page www.bls.gov/ooh/healthcare/registered-nurses.htm, which we consulted on Oct 22, 2021","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":"25 1","pages":"0"},"PeriodicalIF":1.3000,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation of a schedule-based mass vaccination clinic\",\"authors\":\"Ludovica Adacher, Marta Flamini, Maurizio Naldi\",\"doi\":\"10.1080/17477778.2023.2260348\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACTThe insurgence of the COVID-19 pandemic has compelled many countries to set up vaccination clinics to carry out mass vaccination campaigns. Though sizing a clinic impacts both costs and service quality, and costs must be scaled up nationwide, those clinics and their staffing have often been put into service without a proper design phase. In this paper, we propose a simulator that allows us to analyse a vaccination clinic’s performance and optimise its capacity and staff level, considering typical schedule-based operations. Though a trade-off is unavoidable between cost and service quality, the latter being represented by the throughput time, we show that we can achieve a significant increase in the efficient use of nurses’ time with a small sacrifice in service quality, i.e., a small increase of the throughput time.KEYWORDS: Vaccinationpandemicsdecision support systemshealth managementvaccination clinicsCOVID-19 Disclosure statementNo potential conflict of interest was reported by the authors.Notes1. www.cdc.gov/vaccines/covid-19/info-by-product/clinical-considerations2. The data of the U.S. Bureau of Labor Statistic concerning registered nurses can be retrieved on the page www.bls.gov/ooh/healthcare/registered-nurses.htm, which we consulted on Oct 22, 2021\",\"PeriodicalId\":51296,\"journal\":{\"name\":\"Journal of Simulation\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2023-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/17477778.2023.2260348\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17477778.2023.2260348","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Simulation of a schedule-based mass vaccination clinic
ABSTRACTThe insurgence of the COVID-19 pandemic has compelled many countries to set up vaccination clinics to carry out mass vaccination campaigns. Though sizing a clinic impacts both costs and service quality, and costs must be scaled up nationwide, those clinics and their staffing have often been put into service without a proper design phase. In this paper, we propose a simulator that allows us to analyse a vaccination clinic’s performance and optimise its capacity and staff level, considering typical schedule-based operations. Though a trade-off is unavoidable between cost and service quality, the latter being represented by the throughput time, we show that we can achieve a significant increase in the efficient use of nurses’ time with a small sacrifice in service quality, i.e., a small increase of the throughput time.KEYWORDS: Vaccinationpandemicsdecision support systemshealth managementvaccination clinicsCOVID-19 Disclosure statementNo potential conflict of interest was reported by the authors.Notes1. www.cdc.gov/vaccines/covid-19/info-by-product/clinical-considerations2. The data of the U.S. Bureau of Labor Statistic concerning registered nurses can be retrieved on the page www.bls.gov/ooh/healthcare/registered-nurses.htm, which we consulted on Oct 22, 2021
Journal of SimulationCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
5.70
自引率
16.00%
发文量
42
期刊介绍:
Journal of Simulation (JOS) aims to publish both articles and technical notes from researchers and practitioners active in the field of simulation. In JOS, the field of simulation includes the techniques, tools, methods and technologies of the application and the use of discrete-event simulation, agent-based modelling and system dynamics.