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考虑到疫苗接种能力有限的针对性新冠疫苗接种(TAV-COVID)——基于主体的建模评估

Targeted COVID-19 Vaccination (TAV-COVID) Considering Limited Vaccination Capacities-An Agent-Based Modeling Evaluation.

作者信息

Jahn Beate, Sroczynski Gaby, Bicher Martin, Rippinger Claire, Mühlberger Nikolai, Santamaria Júlia, Urach Christoph, Schomaker Michael, Stojkov Igor, Schmid Daniela, Weiss Günter, Wiedermann Ursula, Redlberger-Fritz Monika, Druml Christiane, Kretzschmar Mirjam, Paulke-Korinek Maria, Ostermann Herwig, Czasch Caroline, Endel Gottfried, Bock Wolfgang, Popper Nikolas, Siebert Uwe

机构信息

Department of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060 Hall in Tirol, Austria.

dwh GmbH, dwh Simulation Services, Neustiftgasse 57-59, A-1070 Vienna, Austria.

出版信息

Vaccines (Basel). 2021 Apr 27;9(5):434. doi: 10.3390/vaccines9050434.

DOI:10.3390/vaccines9050434
PMID:33925650
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8145290/
Abstract

(1) Background: The Austrian supply of COVID-19 vaccine is limited for now. We aim to provide evidence-based guidance to the authorities in order to minimize COVID-19-related hospitalizations and deaths in Austria. (2) Methods: We used a dynamic agent-based population model to compare different vaccination strategies targeted to the elderly (65 ≥ years), middle aged (45-64 years), younger (15-44 years), vulnerable (risk of severe disease due to comorbidities), and healthcare workers (HCW). First, outcomes were optimized for an initially available vaccine batch for 200,000 individuals. Second, stepwise optimization was performed deriving a prioritization sequence for 2.45 million individuals, maximizing the reduction in total hospitalizations and deaths compared to no vaccination. We considered sterilizing and non-sterilizing immunity, assuming a 70% effectiveness. (3) Results: Maximum reduction of hospitalizations and deaths was achieved by starting vaccination with the elderly and vulnerable followed by middle-aged, HCW, and younger individuals. Optimizations for vaccinating 2.45 million individuals yielded the same prioritization and avoided approximately one third of deaths and hospitalizations. Starting vaccination with HCW leads to slightly smaller reductions but maximizes occupational safety. (4) Conclusion: To minimize COVID-19-related hospitalizations and deaths, our study shows that elderly and vulnerable persons should be prioritized for vaccination until further vaccines are available.

摘要

(1) 背景:目前奥地利的新冠疫苗供应有限。我们旨在为当局提供循证指导,以尽量减少奥地利与新冠相关的住院和死亡情况。(2) 方法:我们使用基于主体的动态人群模型,比较针对老年人(≥65岁)、中年人(45 - 64岁)、年轻人(15 - 44岁)、弱势群体(因合并症有重症风险)和医护人员的不同疫苗接种策略。首先,针对最初可供20万人使用的一批疫苗优化接种结果。其次,进行逐步优化,得出245万人的优先接种顺序,与不接种疫苗相比,最大程度减少总住院人数和死亡人数。我们考虑了有和没有免疫清除作用的免疫效果,假设有效性为70%。(3) 结果:通过先为老年人和弱势群体接种疫苗,然后依次为中年人、医护人员和年轻人接种,实现了住院人数和死亡人数的最大程度减少。对245万人进行疫苗接种的优化得出了相同的优先顺序,避免了约三分之一的死亡和住院情况。先为医护人员接种疫苗导致的减少幅度略小,但能最大程度保障职业安全。(4) 结论:为尽量减少与新冠相关的住院和死亡情况,我们的研究表明,在有更多疫苗可用之前,应优先为老年人和弱势群体接种疫苗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5901/8145290/a94e6c4df126/vaccines-09-00434-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5901/8145290/e949793dd97b/vaccines-09-00434-g0A1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5901/8145290/5f280f029c58/vaccines-09-00434-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5901/8145290/a94e6c4df126/vaccines-09-00434-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5901/8145290/e949793dd97b/vaccines-09-00434-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5901/8145290/483617602685/vaccines-09-00434-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5901/8145290/4f41a5276a81/vaccines-09-00434-g0A3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5901/8145290/9ef4154c04e8/vaccines-09-00434-g0A4.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5901/8145290/a94e6c4df126/vaccines-09-00434-g002.jpg

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本文引用的文献

1
Evaluation of Contact-Tracing Policies against the Spread of SARS-CoV-2 in Austria: An Agent-Based Simulation.评估奥地利针对 SARS-CoV-2 传播的接触者追踪政策:基于代理的模拟。
Med Decis Making. 2021 Nov;41(8):1017-1032. doi: 10.1177/0272989X211013306. Epub 2021 May 22.
2
Modelling optimal vaccination strategy for SARS-CoV-2 in the UK.在英国建立 SARS-CoV-2 的最佳疫苗接种策略模型。
PLoS Comput Biol. 2021 May 6;17(5):e1008849. doi: 10.1371/journal.pcbi.1008849. eCollection 2021 May.
3
COVID-19 in People Living with HIV: A Systematic Review and Meta-Analysis.
新发传染病暴发期间诊断检测开发与评估的统一框架。
Commun Med (Lond). 2024 Dec 10;4(1):263. doi: 10.1038/s43856-024-00691-9.
4
Learning from the COVID-19 pandemic: A systematic review of mathematical vaccine prioritization models.从新冠疫情中学习:数学疫苗优先排序模型的系统综述
Infect Dis Model. 2024 May 15;9(4):1057-1080. doi: 10.1016/j.idm.2024.05.005. eCollection 2024 Dec.
5
Learning from the COVID-19 pandemic: a systematic review of mathematical vaccine prioritization models.从新冠疫情中学习:数学疫苗优先级模型的系统综述
medRxiv. 2024 Mar 7:2024.03.04.24303726. doi: 10.1101/2024.03.04.24303726.
6
Cost-Effectiveness Analysis of Vaccines for COVID-19 According to Sex, Comorbidity and Socioeconomic Status: A Population Study.基于性别、合并症和社会经济地位的 COVID-19 疫苗成本效益分析:一项人群研究。
Pharmacoeconomics. 2024 Feb;42(2):219-229. doi: 10.1007/s40273-023-01326-y. Epub 2023 Nov 1.
7
Study of optimal vaccination strategies for early COVID-19 pandemic using an age-structured mathematical model: A case study of the USA.基于年龄结构的数学模型对 COVID-19 早期大流行最优接种策略的研究:以美国为例。
Math Biosci Eng. 2023 Apr 19;20(6):10828-10865. doi: 10.3934/mbe.2023481.
8
Optimizing global COVID-19 vaccine allocation: An agent-based computational model of 148 countries.优化全球 COVID-19 疫苗分配:148 个国家的基于代理的计算模型。
PLoS Comput Biol. 2022 Sep 6;18(9):e1010463. doi: 10.1371/journal.pcbi.1010463. eCollection 2022 Sep.
9
COVID-19 vaccine distribution planning using a congested queuing system-A real case from Australia.使用拥堵排队系统进行COVID-19疫苗分配规划——来自澳大利亚的一个真实案例。
Transp Res E Logist Transp Rev. 2022 Jul;163:102749. doi: 10.1016/j.tre.2022.102749. Epub 2022 May 30.
10
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中文译文:HIV 感染者中的 COVID-19:系统评价和荟萃分析。
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4
Vaccines - safety in pregnancy.疫苗接种 - 妊娠期安全性。
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5
Vaccine optimization for COVID-19: Who to vaccinate first?2019冠状病毒病疫苗优化:优先接种对象为谁?
Sci Adv. 2021 Feb 3;7(6). doi: 10.1126/sciadv.abf1374. Print 2020 Feb.
6
Universal screening for SARS-CoV-2 infection: a rapid review.SARS-CoV-2 感染的普遍筛查:快速综述。
Cochrane Database Syst Rev. 2020 Sep 15;9(9):CD013718. doi: 10.1002/14651858.CD013718.
7
Optimizing age-specific vaccination.优化特定年龄组的疫苗接种。
Science. 2021 Feb 26;371(6532):890-891. doi: 10.1126/science.abg2334. Epub 2021 Jan 21.
8
Model-informed COVID-19 vaccine prioritization strategies by age and serostatus.基于模型的 COVID-19 疫苗优先接种策略,按年龄和血清学状态分层。
Science. 2021 Feb 26;371(6532):916-921. doi: 10.1126/science.abe6959. Epub 2021 Jan 21.
9
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10
Immunological memory to SARS-CoV-2 assessed for up to 8 months after infection.对感染后长达 8 个月的 SARS-CoV-2 进行免疫记忆评估。
Science. 2021 Feb 5;371(6529). doi: 10.1126/science.abf4063. Epub 2021 Jan 6.