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2014年西非埃博拉疫情有效繁殖数的时间变化

Temporal variations in the effective reproduction number of the 2014 west Africa ebola outbreak.

作者信息

Towers Sherry, Patterson-Lomba Oscar, Castillo-Chavez Carlos

机构信息

Mathematical and Computational Modeling Sciences Center, Arizona State University, Tempe, Arizona, USA.

Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA.

出版信息

PLoS Curr. 2014 Sep 18;6:ecurrents.outbreaks.9e4c4294ec8ce1adad283172b16bc908. doi: 10.1371/currents.outbreaks.9e4c4294ec8ce1adad283172b16bc908.

Abstract

Background The rapidly evolving 2014 Ebola virus disease (EVD) outbreak in West Africa is the largest documented in history, both in terms of the number of people infected and in the geographic spread. The high morbidity and mortality have inspired response strategies to the outbreak at the individual, regional, and national levels. Methods to provide real-time assessment of changing transmission dynamics are critical to the understanding of how these adaptive intervention measures have affected the spread of the outbreak. Methods In this analysis, we use the time series of EVD cases in Guinea, Sierra Leone, and Liberia up to September 8, 2014, and employ novel methodology to estimate how the rate of exponential rise of new cases has changed over the outbreak using piecewise fits of exponential curves to the outbreak data. Results We find that for Liberia and Guinea, the effective reproduction number rose, rather than fell, around the time that the outbreak spread to densely populated cities, and enforced quarantine was imposed on several regions in the countries; this may indicate that enforced quarantine may not be an effective control measure. Conclusions If effective control measures are not put in place, and the current rate of exponential rise of new cases continues, we predict 4400 new Ebola cases in West Africa during the last half of the month of September, with an upper 95% confidence level of 6800 new cases.

摘要

背景 2014年在西非迅速演变的埃博拉病毒病(EVD)疫情是历史上有记录以来规模最大的一次,无论是从感染人数还是地理传播范围来看。高发病率和高死亡率促使了在个人、区域和国家层面针对此次疫情采取应对策略。提供实时评估疫情传播动态变化的方法对于理解这些适应性干预措施如何影响疫情传播至关重要。方法 在本分析中,我们使用了截至2014年9月8日几内亚、塞拉利昂和利比里亚的埃博拉病毒病病例时间序列,并采用新方法,通过对疫情数据进行指数曲线的分段拟合来估计新病例指数上升率在疫情期间是如何变化的。结果 我们发现,对于利比里亚和几内亚,在疫情蔓延到人口密集城市且对这些国家的多个地区实施强制隔离时,有效繁殖数上升而非下降;这可能表明强制隔离可能不是一种有效的控制措施。结论 如果不采取有效的控制措施,且新病例目前的指数上升率持续下去,我们预测在9月的最后半个月西非将出现4400例新的埃博拉病例,95%置信上限为6800例新病例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1597/4169299/2d05870d2e58/country_fitsb.jpg

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