COVID-19疫苗分布的区位分析模型

IF 2.4 Q3 MANAGEMENT
Luluk Lusiantoro, S. Mara, A. Rifai
{"title":"COVID-19疫苗分布的区位分析模型","authors":"Luluk Lusiantoro, S. Mara, A. Rifai","doi":"10.31387/oscm0490344","DOIUrl":null,"url":null,"abstract":"Even and equitable distribution of the COVID-19 vaccine becomes one of key strategies to reduce the number of positive cases and virus transmissions all over the world. This paper aims to introduce and demonstrate a mathematical model based on a maximal covering location problem (MCLP) to optimise the coverage of the COVID-19 vaccine distribution. A mathematical model is proposed and demonstrated using an illustrative case study of healthcare facilities and location coordinates of villages in Yogyakarta, Indonesia. A numerical computer experiment is conducted to obtain optimal results of the locational analysis. The results show that the proposed model provides an efficient coverage of vaccination by minimising the distances travelled by the target population. It also reveals an interesting insight that prioritising vaccination for areas with high COVID-19 cases results in a less efficient coverage. The novel location-allocation model for COVID-19 vaccination facilities proposed in this paper particularly applies in a developing country. The model could be used as an alternative way to increase the vaccination coverage and priority whilst minimising the potential risks of the virus transmissions and transport costs. © 2022 Operations and Supply Chain Management Forum. All rights reserved.","PeriodicalId":43857,"journal":{"name":"Operations and Supply Chain Management-An International Journal","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2022-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Locational Analysis Model of the COVID-19 Vaccine Distribution\",\"authors\":\"Luluk Lusiantoro, S. Mara, A. Rifai\",\"doi\":\"10.31387/oscm0490344\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Even and equitable distribution of the COVID-19 vaccine becomes one of key strategies to reduce the number of positive cases and virus transmissions all over the world. This paper aims to introduce and demonstrate a mathematical model based on a maximal covering location problem (MCLP) to optimise the coverage of the COVID-19 vaccine distribution. A mathematical model is proposed and demonstrated using an illustrative case study of healthcare facilities and location coordinates of villages in Yogyakarta, Indonesia. A numerical computer experiment is conducted to obtain optimal results of the locational analysis. The results show that the proposed model provides an efficient coverage of vaccination by minimising the distances travelled by the target population. It also reveals an interesting insight that prioritising vaccination for areas with high COVID-19 cases results in a less efficient coverage. The novel location-allocation model for COVID-19 vaccination facilities proposed in this paper particularly applies in a developing country. The model could be used as an alternative way to increase the vaccination coverage and priority whilst minimising the potential risks of the virus transmissions and transport costs. © 2022 Operations and Supply Chain Management Forum. All rights reserved.\",\"PeriodicalId\":43857,\"journal\":{\"name\":\"Operations and Supply Chain Management-An International Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2022-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Operations and Supply Chain Management-An International Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31387/oscm0490344\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Operations and Supply Chain Management-An International Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31387/oscm0490344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 5

摘要

公平分配COVID-19疫苗是减少世界各地阳性病例和病毒传播数量的关键战略之一。本文旨在介绍并论证一个基于最大覆盖定位问题(MCLP)的数学模型,以优化COVID-19疫苗分配的覆盖。本文提出了一个数学模型,并通过对印度尼西亚日惹的保健设施和村庄位置坐标的说明性案例研究进行了演示。为了得到位置分析的最佳结果,进行了数值模拟实验。结果表明,所提出的模型通过最小化目标人群所走的距离来提供有效的疫苗接种覆盖率。它还揭示了一个有趣的见解,即优先在COVID-19高病例地区接种疫苗会导致覆盖面较低。本文提出的新型COVID-19疫苗接种设施的位置分配模型特别适用于发展中国家。该模型可以作为增加疫苗接种覆盖率和优先级的替代方法,同时将病毒传播的潜在风险和运输成本降至最低。©2022运营与供应链管理论坛。版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Locational Analysis Model of the COVID-19 Vaccine Distribution
Even and equitable distribution of the COVID-19 vaccine becomes one of key strategies to reduce the number of positive cases and virus transmissions all over the world. This paper aims to introduce and demonstrate a mathematical model based on a maximal covering location problem (MCLP) to optimise the coverage of the COVID-19 vaccine distribution. A mathematical model is proposed and demonstrated using an illustrative case study of healthcare facilities and location coordinates of villages in Yogyakarta, Indonesia. A numerical computer experiment is conducted to obtain optimal results of the locational analysis. The results show that the proposed model provides an efficient coverage of vaccination by minimising the distances travelled by the target population. It also reveals an interesting insight that prioritising vaccination for areas with high COVID-19 cases results in a less efficient coverage. The novel location-allocation model for COVID-19 vaccination facilities proposed in this paper particularly applies in a developing country. The model could be used as an alternative way to increase the vaccination coverage and priority whilst minimising the potential risks of the virus transmissions and transport costs. © 2022 Operations and Supply Chain Management Forum. All rights reserved.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
5.40
自引率
27.80%
发文量
22
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信