Suppr超能文献

量化传染病主动监测的风险和成本。

Quantifying the Risk and Cost of Active Monitoring for Infectious Diseases.

机构信息

University of Massachusetts-Amherst, Department of Biostatistics and Epidemiology, Amherst, MA, 01003, USA.

Johns Hopkins Bloomberg School of Public Health, Department of Epidemiology, Baltimore, MD, 21205, USA.

出版信息

Sci Rep. 2018 Jan 18;8(1):1093. doi: 10.1038/s41598-018-19406-x.

Abstract

During outbreaks of deadly emerging pathogens (e.g., Ebola, MERS-CoV) and bioterror threats (e.g., smallpox), actively monitoring potentially infected individuals aims to limit disease transmission and morbidity. Guidance issued by CDC on active monitoring was a cornerstone of its response to the West Africa Ebola outbreak. There are limited data on how to balance the costs and performance of this important public health activity. We present a framework that estimates the risks and costs of specific durations of active monitoring for pathogens of significant public health concern. We analyze data from New York City's Ebola active monitoring program over a 16-month period in 2014-2016. For monitored individuals, we identified unique durations of active monitoring that minimize expected costs for those at "low (but not zero) risk" and "some or high risk": 21 and 31 days, respectively. Extending our analysis to smallpox and MERS-CoV, we found that the optimal length of active monitoring relative to the median incubation period was reduced compared to Ebola due to less variable incubation periods. Active monitoring can save lives but is expensive. Resources can be most effectively allocated by using exposure-risk categories to modify the duration or intensity of active monitoring.

摘要

在致命性新发病原体(如埃博拉病毒、MERS-CoV)和生物恐怖威胁(如天花)爆发期间,主动监测潜在感染者旨在限制疾病传播和发病率。美国疾病预防控制中心发布的主动监测指南是其应对西非埃博拉疫情的基石。关于如何平衡这种重要公共卫生活动的成本和绩效的数据有限。我们提出了一个框架,用于估计针对重大公共卫生关注病原体的特定持续时间的主动监测的风险和成本。我们分析了 2014 年至 2016 年期间纽约市 16 个月的埃博拉主动监测计划的数据。对于接受监测的个人,我们确定了最小化“低(但非零)风险”和“某些或高风险”人群预期成本的独特主动监测持续时间:分别为 21 天和 31 天。将我们的分析扩展到天花和 MERS-CoV,我们发现由于潜伏期的变异性较小,与埃博拉相比,主动监测的最佳持续时间相对于中位数潜伏期缩短了。主动监测可以挽救生命,但成本高昂。通过使用暴露风险类别来修改主动监测的持续时间或强度,可以最有效地分配资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4522/5773605/b96287c0e7b9/41598_2018_19406_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验