适用于基于年龄的限制与横向封锁的流行病学战略的新型比较框架

IF 8.8 3区 医学 Q1 Medicine Infectious Disease Modelling Pub Date : 2024-07-20 DOI:10.1016/j.idm.2024.07.002
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引用次数: 0

摘要

在 COVID-19 大流行等疫情期间,政策制定者面临着实施有效但社会经济成本高昂的干预策略的决定,如关闭学校和工作场所、物理隔离等。在本研究中,我们提出了流行病学策略的严格定义。此外,我们还制定了一个比较某些流行病学策略的方案,目的是为政策制定者提供一个进行系统比较的工具。然后,我们采用 Bitsouni 等人(2024 年)提出的基于年龄的流行病学分区模型,并结合文献数据,对建议的方案进行了测试,以比较基于年龄的干预措施和横向干预措施的有效性。总体而言,我们的研究结果表明,这两种干预措施的效果相当,主要是在低强度或中等强度的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A novel comparison framework for epidemiological strategies applied to age-based restrictions versus horizontal lockdowns

During an epidemic, such as the COVID-19 pandemic, policy-makers are faced with the decision of implementing effective, yet socioeconomically costly intervention strategies, such as school and workplace closure, physical distancing, etc. In this study, we propose a rigorous definition of epidemiological strategies. In addition, we develop a scheme for comparing certain epidemiological strategies, with the goal of providing policy-makers with a tool for their systematic comparison. Then, we put the suggested scheme to the test by employing an age-based epidemiological compartment model introduced in Bitsouni et al. (2024), coupled with data from the literature, in order to compare the effectiveness of age-based and horizontal interventions. In general, our findings suggest that these two are comparable, mainly at a low or medium level of intensity.

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来源期刊
Infectious Disease Modelling
Infectious Disease Modelling Mathematics-Applied Mathematics
CiteScore
17.00
自引率
3.40%
发文量
73
审稿时长
17 weeks
期刊介绍: Infectious Disease Modelling is an open access journal that undergoes peer-review. Its main objective is to facilitate research that combines mathematical modelling, retrieval and analysis of infection disease data, and public health decision support. The journal actively encourages original research that improves this interface, as well as review articles that highlight innovative methodologies relevant to data collection, informatics, and policy making in the field of public health.
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