呼吸道感染在医疗机构的传播模式:系统综述。

IF 3 3区 医学 Q2 INFECTIOUS DISEASES Epidemics Pub Date : 2024-12-06 DOI:10.1016/j.epidem.2024.100809
Sara N Levintow, Molly Remch, Emily P Jones, Justin Lessler, Jessie K Edwards, Lauren Brinkley-Rubinstein, Dana K Rice, David L Rosen, Kimberly A Powers
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引用次数: 0

摘要

背景:在医疗环境中预防和控制传染病暴发面临着独特的挑战。传播建模是理解和应对这些挑战的有力工具,但在此背景下对建模工作的审查早于SARS-CoV-2大流行期间监狱和监狱中疫情的扩散。我们对大流行之前和大流行期间使用呼吸道感染传播模型的研究进行了系统回顾。方法:我们检索了PubMed、Embase、Scopus、CINAHL和PsycInfo,以确定1970年至2024年间发表的模拟呼吸道传染病在癌症环境中传播的研究。我们提取了疾病、人群和建模环境的信息;用于参数化模型和模拟传输的方法;模型校准、验证和敏感性分析的相关结果和技术;以及模型干预的类型,影响和伦理方面。结果:46项研究符合资格标准,其中24项(52 %)模拟了结核病的传播动力学,20项(43 %)模拟了SARS-CoV-2, 1项(2 %)模拟了流感,1项(2 %)模拟了水痘-带状疱疹病毒的传播动力学。美国的监狱设施是最常见的焦点(15.33 %),其次是巴西(8.17 %)。大多数研究(36.80 %)使用隔间模型(相对于基于个体或主体的模型)。结核病研究通常模拟在单一设施内的传播,而大多数SARS-CoV-2研究模拟在多个地方的传播,包括在监狱和社区环境之间。一半的研究使模型符合流行病学数据;三个经过验证的模型预测。在32项(70 %)研究中使用模型估计过去或潜在的未来干预影响,在6项(13 %)研究中预测现状(没有改变条件),在8项(17 %)研究中仅检查传播的理论方面。干预措施通常涉及检测和治疗、检疫和隔离和/或设施通风。模拟干预措施大大减少了传播,但有些干预措施没有明确定义或没有考虑伦理问题。结论:大流行促使人们迫切关注监狱和监狱中的传播动态,但除了SARS-CoV-2和结核病之外,很少有呼吸道感染的建模。加强对干预措施实施的校准、验证以及实践和伦理方面的关注,可以改善将模型估计转化为癌症环境中高度脆弱人群的切实利益。
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Transmission models of respiratory infections in carceral settings: A systematic review.

Background: The prevention and control of infectious disease outbreaks in carceral settings face unique challenges. Transmission modeling is a powerful tool for understanding and addressing these challenges, but reviews of modeling work in this context pre-date the proliferation of outbreaks in jails and prisons during the SARS-CoV-2 pandemic. We conducted a systematic review of studies using transmission models of respiratory infections in carceral settings before and during the pandemic.

Methods: We searched PubMed, Embase, Scopus, CINAHL, and PsycInfo to identify studies published between 1970 and 2024 that modeled transmission of respiratory infectious diseases in carceral settings. We extracted information on the diseases, populations, and settings modeled; approaches used for parameterizing models and simulating transmission; outcomes of interest and techniques for model calibration, validation, and sensitivity analyses; and types, impacts, and ethical aspects of modeled interventions.

Results: Forty-six studies met eligibility criteria, with transmission dynamics of tuberculosis modeled in 24 (52 %), SARS-CoV-2 in 20 (43 %), influenza in one (2 %), and varicella-zoster virus in one (2 %). Carceral facilities in the United States were the most common focus (15, 33 %), followed by Brazil (8, 17 %). Most studies (36, 80 %) used compartmental models (vs. individual- or agent-based). Tuberculosis studies typically modeled transmission within a single facility, while most SARS-CoV-2 studies simulated transmission in multiple places, including between carceral and community settings. Half of studies fit models to epidemiological data; three validated model predictions. Models were used to estimate past or potential future intervention impacts in 32 (70 %) studies, forecast the status quo (without changing conditions) in six (13 %), and examine only theoretical aspects of transmission in eight (17 %). Interventions commonly involved testing and treatment, quarantine and isolation, and/or facility ventilation. Modeled interventions substantially reduced transmission, but some were not well-defined or did not consider ethical issues.

Conclusion: The pandemic prompted urgent attention to transmission dynamics in jails and prisons, but there has been little modeling of respiratory infections other than SARS-CoV-2 and tuberculosis. Increased attention to calibration, validation, and the practical and ethical aspects of intervention implementation could improve translation of model estimates into tangible benefits for the highly vulnerable populations in carceral settings.

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来源期刊
Epidemics
Epidemics INFECTIOUS DISEASES-
CiteScore
6.00
自引率
7.90%
发文量
92
审稿时长
140 days
期刊介绍: Epidemics publishes papers on infectious disease dynamics in the broadest sense. Its scope covers both within-host dynamics of infectious agents and dynamics at the population level, particularly the interaction between the two. Areas of emphasis include: spread, transmission, persistence, implications and population dynamics of infectious diseases; population and public health as well as policy aspects of control and prevention; dynamics at the individual level; interaction with the environment, ecology and evolution of infectious diseases, as well as population genetics of infectious agents.
期刊最新文献
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