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保护医护人员:基于阿勒格尼县的大流行模拟。

Protecting health care workers: a pandemic simulation based on Allegheny County.

机构信息

RTI International, Research Triangle Park, NC, USA.

出版信息

Influenza Other Respir Viruses. 2010 Mar;4(2):61-72. doi: 10.1111/j.1750-2659.2009.00122.x.

DOI:10.1111/j.1750-2659.2009.00122.x
PMID:20167046
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2894576/
Abstract

BACKGROUND AND OBJECTIVES

The Advisory Committee on Immunization Practices has identified health care workers (HCWs) as a priority group to receive influenza vaccine. Although the importance of HCW to the health care system is well understood, the potential role of HCW in transmission during an epidemic has not been clearly established.

METHODS

Using a standard SIR (Susceptible-Infected-Recovered) framework similar to previously developed pandemic models, we developed an agent-based model (ABM) of Allegheny County, PA, that incorporates the key health care system features to simulate the spread of an influenza epidemic and its effect on hospital-based HCWs.

FINDINGS

Our simulation runs found the secondary attack rate among unprotected HCWs to be approximately 60% higher (54.3%) as that of all adults (34.1%), which would result in substantial absenteeism and additional risk to HCW families. Understanding how a pandemic may affect HCWs, who must be available to treat infected patients as well as patients with other medical conditions, is crucial to policy makers' and hospital administrators' preparedness planning.

摘要

背景和目的

免疫实践咨询委员会已将卫生保健工作者(HCWs)确定为优先接种流感疫苗的人群。尽管 HCW 对医疗体系的重要性是显而易见的,但 HCW 在疫情期间传播中的潜在作用尚未得到明确确立。

方法

我们使用类似于先前开发的大流行模型的标准 SIR(易感-感染-恢复)框架,为宾夕法尼亚州阿勒格尼县开发了一个基于代理的模型(ABM),该模型结合了关键的医疗保健系统特征,以模拟流感流行的传播及其对基于医院的 HCW 的影响。

发现

我们的模拟运行发现,未受保护的 HCW 的二次攻击率比所有成年人(34.1%)高出约 60%(54.3%),这将导致大量缺勤和 HCW 家庭的额外风险。了解大流行如何影响 HCW 至关重要,因为 HCW 必须能够治疗感染患者以及患有其他疾病的患者,这对政策制定者和医院管理人员的准备计划至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/f002f345a834/IRV-4-061-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/edbc647eacb6/IRV-4-061-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/d68cbc4a66eb/IRV-4-061-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/cd8b6b9fa2ca/IRV-4-061-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/d5da65af3c83/IRV-4-061-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/891bea5391c1/IRV-4-061-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/31ef77eb50ff/IRV-4-061-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/f002f345a834/IRV-4-061-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/edbc647eacb6/IRV-4-061-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/d68cbc4a66eb/IRV-4-061-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/cd8b6b9fa2ca/IRV-4-061-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/d5da65af3c83/IRV-4-061-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/891bea5391c1/IRV-4-061-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/31ef77eb50ff/IRV-4-061-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c359/4940799/f002f345a834/IRV-4-061-g007.jpg

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