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埃博拉病毒病的延迟识别与疫情的时间更长、规模更大有关。

Delayed recognition of Ebola virus disease is associated with longer and larger outbreaks.

机构信息

Laboratory of Virology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA.

Marshall University Joan C. Edwards School of Medicine, Huntington, WV, USA.

出版信息

Emerg Microbes Infect. 2020 Feb 4;9(1):291-301. doi: 10.1080/22221751.2020.1722036. eCollection 2020.

Abstract

The average time required to detect an Ebola virus disease (EVD) outbreak following spillover of Ebola virus (EBOV) to a primary human case has remained essentially unchanged for over 40 years, with some of the longest delays in detection occurring in recent decades. In this review, our aim was to examine the relationship between delays in detection of EVD and the duration and size of outbreaks, and we report that longer delays are associated with longer and larger EVD outbreaks. Historically, EVD outbreaks have typically been comprised of less than 100 cases (median = 60) and have lasted less than 4 months (median = 118 days). The ongoing outbreak in Democratic Republic of the Congo, together with the 2013-2016 west Africa outbreak, are stark outliers amidst these trends and had two of the longest delays in detection on record. While significant progress has been made in the development of EVD countermeasures, implementation during EVD outbreaks is problematic. Thus, EVD surveillance must be improved by the broad deployment of modern diagnostic tools, as prompt recognition of EVD has the potential to stem early transmission and ultimately limit the duration and size of outbreaks.

摘要

从埃博拉病毒(EBOV)溢出到原发性人类病例到发现埃博拉病毒病(EVD)疫情所需的平均时间在 40 多年来基本保持不变,其中一些最长的延迟发生在最近几十年。在这篇综述中,我们旨在检查 EVD 检测延迟与疫情持续时间和规模之间的关系,并报告说,更长的延迟与更长和更大的 EVD 疫情有关。从历史上看,EVD 疫情通常由不到 100 例病例(中位数=60)组成,持续时间不到 4 个月(中位数=118 天)。刚果民主共和国正在发生的疫情以及 2013-2016 年西非疫情,在这些趋势中是明显的例外,而且是有记录以来检测延迟最长的两个疫情。尽管在开发 EVD 对策方面取得了重大进展,但在 EVD 疫情期间实施这些对策存在问题。因此,必须通过广泛部署现代诊断工具来改善 EVD 监测,因为及时识别 EVD 有可能阻止早期传播,并最终限制疫情的持续时间和规模。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038a/7034085/ca31194ed074/TEMI_A_1722036_F0001_OC.jpg

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