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复合多尺度新冠疫情缓解框架的应用:美国边境用例

Application of a composite, multi-scale COVID-19 mitigation framework: US border use-case.

作者信息

Danial Zach, Edwards Nathan, James John, Mahoney Paula, Corrado Casey, Savage Brian

机构信息

The MITRE Coporation, Tysons, VA, USA.

出版信息

Health Syst (Basingstoke). 2023 Dec 21;14(1):12-30. doi: 10.1080/20476965.2023.2287506. eCollection 2025.

DOI:10.1080/20476965.2023.2287506
PMID:39989915
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11843641/
Abstract

Airborne pathogen transmission within crowded facilities can be modelled by combining several interrelated mechanisms of spread: movement of people, airflow dynamics, and aerosol dispersion. This paper describes a composite model framework combining analytical models to demonstrate the spread of an airborne pathogen in a crowded, confined space at an immigrant processing centre on the southern US border during the border crisis of March 2021. Recommendations that could reduce current COVID-19 infection rate from 11% to 6.16% at relatively low additional cost to the government are given. These recommendations could also lower the infection rate by approximately five times from 31.14% worst case from long indoor exposures down to 6.35% when immigrant processing times surge to 10 days. This work highlights the challenges of managing COVID-19 in crowded facilities, and provides quantitative decision options with potential both to slow and prevent disease spread, while lessening the economic burden on communities.

摘要

通过结合几种相互关联的传播机制,可以对拥挤场所内空气传播病原体的传播进行建模:人员流动、气流动力学和气溶胶扩散。本文描述了一个综合模型框架,该框架结合了分析模型,以展示2021年3月边境危机期间,在美国南部边境一个移民处理中心拥挤、封闭空间内空气传播病原体的传播情况。文中给出了一些建议,这些建议可以以相对较低的额外成本将当前的新冠病毒感染率从11%降至6.16%。当移民处理时间激增到10天时,这些建议还可以将感染率从长期室内暴露最坏情况下的31.14%降低约五倍,降至6.35%。这项工作突出了在拥挤场所管理新冠病毒的挑战,并提供了定量决策选项,既有减缓疾病传播的潜力,也有预防疾病传播的潜力,同时减轻社区的经济负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094d/11843641/a159456bfb83/THSS_A_2287506_F0012_OC.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094d/11843641/92805a43552d/THSS_A_2287506_F0008_OC.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094d/11843641/b2e9de09314f/THSS_A_2287506_F0002_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094d/11843641/cf70df1461b1/THSS_A_2287506_F0003_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094d/11843641/da8e47cec61d/THSS_A_2287506_F0004_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094d/11843641/45301d795cd9/THSS_A_2287506_F0005_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094d/11843641/86364db2be65/THSS_A_2287506_F0006_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094d/11843641/a6d8b7df1a79/THSS_A_2287506_F0007_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094d/11843641/92805a43552d/THSS_A_2287506_F0008_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094d/11843641/e4651b9c5373/THSS_A_2287506_F0009_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094d/11843641/008a0a22549d/THSS_A_2287506_F0010_OC.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/094d/11843641/a159456bfb83/THSS_A_2287506_F0012_OC.jpg

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本文引用的文献

1
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Aerosol Sci Technol. 2021 Jun 14;55(10):1125-1142. doi: 10.1080/02786826.2021.1933377.
2
Hybrid simulation modelling of networks of heterogeneous care homes and the inter-facility spread of Covid-19 by sharing staff.通过共享员工,对异质护理院网络以及新冠病毒在设施间传播的混合模拟建模。
PLoS Comput Biol. 2022 Jan 12;18(1):e1009780. doi: 10.1371/journal.pcbi.1009780. eCollection 2022 Jan.
3
A Quantitative Risk Estimation Platform for Indoor Aerosol Transmission of COVID-19.
用于 COVID-19 室内气溶胶传播的定量风险评估平台。
Risk Anal. 2022 Sep;42(9):2075-2088. doi: 10.1111/risa.13844. Epub 2021 Oct 28.
4
Covasim: An agent-based model of COVID-19 dynamics and interventions.Covasim:一种基于代理的 COVID-19 动力学和干预措施模型。
PLoS Comput Biol. 2021 Jul 26;17(7):e1009149. doi: 10.1371/journal.pcbi.1009149. eCollection 2021 Jul.
5
COVID-19 Transmission during Transportation of 1st to 12th Grade Students: Experience of an Independent School in Virginia.弗吉尼亚州一所独立学校的经验:1 至 12 年级学生运输过程中的 COVID-19 传播。
J Sch Health. 2021 Sep;91(9):678-682. doi: 10.1111/josh.13058. Epub 2021 Jul 20.
6
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PLoS One. 2021 Jul 6;16(7):e0254044. doi: 10.1371/journal.pone.0254044. eCollection 2021.
7
Safety of air travel during the ongoing COVID-19 pandemic.在持续的新冠疫情期间航空旅行的安全性。
Travel Med Infect Dis. 2021 Sep-Oct;43:102103. doi: 10.1016/j.tmaid.2021.102103. Epub 2021 Jun 7.
8
Three pre-vaccine responses to Covid-like epidemics.三种针对类新冠疫情的疫苗前反应。
PLoS One. 2021 May 13;16(5):e0251349. doi: 10.1371/journal.pone.0251349. eCollection 2021.
9
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Epidemiol Infect. 2021 Apr 14;149:e96. doi: 10.1017/S0950268821000790.
10
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Math Comput Simul. 2021 Jul;185:687-695. doi: 10.1016/j.matcom.2021.01.022. Epub 2021 Feb 13.