COVID-19 疫苗接种规划的最佳订购策略和预算分配

IF 2.6 4区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Xueping Liu, Sheng Zhu, Jinting Wang
{"title":"COVID-19 疫苗接种规划的最佳订购策略和预算分配","authors":"Xueping Liu, Sheng Zhu, Jinting Wang","doi":"10.1051/mmnp/2024002","DOIUrl":null,"url":null,"abstract":"Abstract. During the COVID-19 pandemic, the most important thing was to control the overall infection rate. To achieve this goal, social managers can choose to use vaccines with different production cycles and therapeutic effects for epidemic prevention and control under financial budget constraints. We adopt a two-tier queueing system with reneging to characterize the operation management of COVID19 vaccine ordering and vaccination, in which a higher-efficacy vaccine queue (HQ) and a lower-efficacy vaccine queue (LQ) are employed to account for two types of vaccines service. In light of this framework, a recursive formula is proposed for deriving the infection rates of residents in both HQ and LQ. Social managers can achieve the lowest total infection rate by selecting appropriate vaccine ordering strategies under fixed service capacity, or by allocating financial budgets reasonably under the investment cost regime. Accordingly, we obtain socially optimal vaccine ordering strategies and financial budget allocation. Finally, we analyze the sensitivity of various parameters to relevant optimal strategies and discover that utilizing a mixed ordering strategy is socially optimal in most circumstances. However, in some extreme cases, ordering a single type of vaccine (higher- or lower-efficacy) may result in the lowest societal infection rate.","PeriodicalId":18285,"journal":{"name":"Mathematical Modelling of Natural Phenomena","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Ordering Strategy and Budget Allocation for the COVID-19 Vaccination Planning\",\"authors\":\"Xueping Liu, Sheng Zhu, Jinting Wang\",\"doi\":\"10.1051/mmnp/2024002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. During the COVID-19 pandemic, the most important thing was to control the overall infection rate. To achieve this goal, social managers can choose to use vaccines with different production cycles and therapeutic effects for epidemic prevention and control under financial budget constraints. We adopt a two-tier queueing system with reneging to characterize the operation management of COVID19 vaccine ordering and vaccination, in which a higher-efficacy vaccine queue (HQ) and a lower-efficacy vaccine queue (LQ) are employed to account for two types of vaccines service. In light of this framework, a recursive formula is proposed for deriving the infection rates of residents in both HQ and LQ. Social managers can achieve the lowest total infection rate by selecting appropriate vaccine ordering strategies under fixed service capacity, or by allocating financial budgets reasonably under the investment cost regime. Accordingly, we obtain socially optimal vaccine ordering strategies and financial budget allocation. Finally, we analyze the sensitivity of various parameters to relevant optimal strategies and discover that utilizing a mixed ordering strategy is socially optimal in most circumstances. However, in some extreme cases, ordering a single type of vaccine (higher- or lower-efficacy) may result in the lowest societal infection rate.\",\"PeriodicalId\":18285,\"journal\":{\"name\":\"Mathematical Modelling of Natural Phenomena\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-02-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematical Modelling of Natural Phenomena\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1051/mmnp/2024002\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICAL & COMPUTATIONAL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Modelling of Natural Phenomena","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1051/mmnp/2024002","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

摘要在 COVID-19 大流行期间,最重要的是控制总体感染率。为了实现这一目标,社会管理者可以在财政预算约束下选择使用不同生产周期和治疗效果的疫苗进行疫情防控。我们采用了一个带反悔的双层排队系统来描述 COVID19 疫苗订购和接种的运行管理,其中高效力疫苗队列(HQ)和低效力疫苗队列(LQ)分别代表两种疫苗服务。根据这一框架,提出了一个递归公式,用于推导 HQ 和 LQ 中居民的感染率。社会管理者可以在固定服务能力下选择合适的疫苗订购策略,或在投资成本制度下合理分配财政预算,从而实现最低的总感染率。因此,我们得到了社会最优的疫苗订购策略和财政预算分配。最后,我们分析了各种参数对相关最优策略的敏感性,发现在大多数情况下,采用混合订购策略是社会最优策略。然而,在某些极端情况下,订购单一类型的疫苗(高效力或低效力)可能会使社会感染率最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Ordering Strategy and Budget Allocation for the COVID-19 Vaccination Planning
Abstract. During the COVID-19 pandemic, the most important thing was to control the overall infection rate. To achieve this goal, social managers can choose to use vaccines with different production cycles and therapeutic effects for epidemic prevention and control under financial budget constraints. We adopt a two-tier queueing system with reneging to characterize the operation management of COVID19 vaccine ordering and vaccination, in which a higher-efficacy vaccine queue (HQ) and a lower-efficacy vaccine queue (LQ) are employed to account for two types of vaccines service. In light of this framework, a recursive formula is proposed for deriving the infection rates of residents in both HQ and LQ. Social managers can achieve the lowest total infection rate by selecting appropriate vaccine ordering strategies under fixed service capacity, or by allocating financial budgets reasonably under the investment cost regime. Accordingly, we obtain socially optimal vaccine ordering strategies and financial budget allocation. Finally, we analyze the sensitivity of various parameters to relevant optimal strategies and discover that utilizing a mixed ordering strategy is socially optimal in most circumstances. However, in some extreme cases, ordering a single type of vaccine (higher- or lower-efficacy) may result in the lowest societal infection rate.
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
Mathematical Modelling of Natural Phenomena
Mathematical Modelling of Natural Phenomena MATHEMATICAL & COMPUTATIONAL BIOLOGY-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
5.20
自引率
0.00%
发文量
46
审稿时长
6-12 weeks
期刊介绍: The Mathematical Modelling of Natural Phenomena (MMNP) is an international research journal, which publishes top-level original and review papers, short communications and proceedings on mathematical modelling in biology, medicine, chemistry, physics, and other areas. The scope of the journal is devoted to mathematical modelling with sufficiently advanced model, and the works studying mainly the existence and stability of stationary points of ODE systems are not considered. The scope of the journal also includes applied mathematics and mathematical analysis in the context of its applications to the real world problems. The journal is essentially functioning on the basis of topical issues representing active areas of research. Each topical issue has its own editorial board. The authors are invited to submit papers to the announced issues or to suggest new issues. Journal publishes research articles and reviews within the whole field of mathematical modelling, and it will continue to provide information on the latest trends and developments in this ever-expanding subject.
×
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