Efficiency and simulation of Thailand's Chiang Mai University Model for COVID-19 mass vaccination hub (CMU-MVH model).

IF 3.8 3区 医学 Q2 INFECTIOUS DISEASES American journal of infection control Pub Date : 2025-02-01 Epub Date: 2024-10-18 DOI:10.1016/j.ajic.2024.10.005
Amornphat Kitro, Danuphon Tippong, Wachiranun Sirikul, Natthanaphop Isaradech, Apiradee Kosai, Pimprapas Saengoa, Jiraporn Thammasarot, Penprapa Siviroj, Chaiy Rungsiyakull, Kriengkrai Srithanaviboonchai
{"title":"Efficiency and simulation of Thailand's Chiang Mai University Model for COVID-19 mass vaccination hub (CMU-MVH model).","authors":"Amornphat Kitro, Danuphon Tippong, Wachiranun Sirikul, Natthanaphop Isaradech, Apiradee Kosai, Pimprapas Saengoa, Jiraporn Thammasarot, Penprapa Siviroj, Chaiy Rungsiyakull, Kriengkrai Srithanaviboonchai","doi":"10.1016/j.ajic.2024.10.005","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Mass vaccination is crucial for achieving herd immunity and controlling pandemics. Simulation models predict vaccination outcomes. This study evaluates efficiency and designs a tailored vaccination plan for Thailand.</p><p><strong>Methods: </strong>Data were derived from a coronavirus disease-19 mass vaccination hub in Chiang Mai, Thailand. It was taken between June 2021 and December 2021. The discreet event simulation model is developed in Arena Simulation Enterprise Suite version 14.0.</p><p><strong>Results: </strong>The operational efficiency of Chiang Mai University Mass Vaccination Hub (CMU-MVH) was 1,073 vaccinations per 8 hours with 38 service staff. The average processing times were 2.5 minutes for the registration station, 12.2 minutes for the assessment station, 8.3 minutes for vaccination, and 28.2 minutes for observation. With 100% staff availability and staff utilization ranging from 0.5 to 0.7, the CMU-MVH could handle 180 to 230 vaccinees per hour or 1,227 to 1,527 vaccinees per day. Reduced staff availability leads to an increase in average processing time, especially when staff availability is lower or equal to 60%.</p><p><strong>Conclusions: </strong>The CMU-MVH could handle approximately a thousand vaccinations within 8 working hours. This capability could assist policymakers in developing more effective strategies and planning for future mass vaccinations.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":"245-253"},"PeriodicalIF":3.8000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of infection control","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ajic.2024.10.005","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/18 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Mass vaccination is crucial for achieving herd immunity and controlling pandemics. Simulation models predict vaccination outcomes. This study evaluates efficiency and designs a tailored vaccination plan for Thailand.

Methods: Data were derived from a coronavirus disease-19 mass vaccination hub in Chiang Mai, Thailand. It was taken between June 2021 and December 2021. The discreet event simulation model is developed in Arena Simulation Enterprise Suite version 14.0.

Results: The operational efficiency of Chiang Mai University Mass Vaccination Hub (CMU-MVH) was 1,073 vaccinations per 8 hours with 38 service staff. The average processing times were 2.5 minutes for the registration station, 12.2 minutes for the assessment station, 8.3 minutes for vaccination, and 28.2 minutes for observation. With 100% staff availability and staff utilization ranging from 0.5 to 0.7, the CMU-MVH could handle 180 to 230 vaccinees per hour or 1,227 to 1,527 vaccinees per day. Reduced staff availability leads to an increase in average processing time, especially when staff availability is lower or equal to 60%.

Conclusions: The CMU-MVH could handle approximately a thousand vaccinations within 8 working hours. This capability could assist policymakers in developing more effective strategies and planning for future mass vaccinations.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
泰国清迈大学 COVID-19 大规模疫苗接种中心模型(CMU-MVH 模型)的效率与模拟。
背景:大规模疫苗接种对于实现群体免疫和控制流行病至关重要。模拟模型可预测疫苗接种的结果。本研究评估了效率,并为泰国设计了量身定制的疫苗接种计划:数据来自泰国清迈的 COVID-19 大规模疫苗接种中心(MVH)。数据采集时间为 2021 年 6 月至 2021 年 12 月。离散事件仿真模型由 Arena Simulation Enterprise Suite 14.0 版开发:清迈大学大规模疫苗接种中心(CMU-MVH)的运行效率为每 8 小时接种 1,073 支疫苗,服务人员为 38 人。平均处理时间(APT)为:登记站 2.5 分钟,评估站 12.2 分钟,接种 8.3 分钟,观察 28.2 分钟。在人员可用率为 100%、人员利用率为 0.5 至 0.7 的情况下,CMU-MVH 每小时可处理 180 至 230 名接种者,每天可处理 1,227 至 1,527 名接种者。工作人员可用率降低会导致平均处理时间增加,尤其是当工作人员可用率低于或等于 60% 时:CMU-MVH可在8个工作小时内处理约一千例疫苗接种。这一能力可帮助决策者为未来的大规模疫苗接种制定更有效的战略和规划:支持本研究结果的数据可向相应作者索取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
7.40
自引率
4.10%
发文量
479
审稿时长
24 days
期刊介绍: AJIC covers key topics and issues in infection control and epidemiology. Infection control professionals, including physicians, nurses, and epidemiologists, rely on AJIC for peer-reviewed articles covering clinical topics as well as original research. As the official publication of the Association for Professionals in Infection Control and Epidemiology (APIC)
期刊最新文献
Novel color additive for disinfectant wipes and room cleanliness and turnover time: Correspondence. Response to some comments on the efficiency and simulation of Thailand's Chiang Mai University model for COVID-19 mass vaccination hub. Response to the letter to the editor regarding "The impact of a novel color additive for disinfectant wipes on room cleanliness and turnover time". Some comments on the efficiency and simulation of Thailand's Chiang Mai University model for COVID-19 mass vaccination hub. Oral care in nonventilated hospitalized patients.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1