Suppr超能文献

不同干预措施下埃博拉病毒病疫情的传播动力学及最终流行规模

Transmission Dynamics and Final Epidemic Size of Ebola Virus Disease Outbreaks with Varying Interventions.

作者信息

Barbarossa Maria Vittoria, Dénes Attila, Kiss Gábor, Nakata Yukihiko, Röst Gergely, Vizi Zsolt

机构信息

Bolyai Institute, University of Szeged, Szeged, Hungary.

Graduate School of Mathematical Sciences, University of Tokyo, Tokyo, Japan.

出版信息

PLoS One. 2015 Jul 21;10(7):e0131398. doi: 10.1371/journal.pone.0131398. eCollection 2015.

Abstract

The 2014 Ebola Virus Disease (EVD) outbreak in West Africa was the largest and longest ever reported since the first identification of this disease. We propose a compartmental model for EVD dynamics, including virus transmission in the community, at hospitals, and at funerals. Using time-dependent parameters, we incorporate the increasing intensity of intervention efforts. Fitting the system to the early phase of the 2014 West Africa Ebola outbreak, we estimate the basic reproduction number as 1.44. We derive a final size relation which allows us to forecast the total number of cases during the outbreak when effective interventions are in place. Our model predictions show that, as long as cases are reported in any country, intervention strategies cannot be dismissed. Since the main driver in the current slowdown of the epidemic is not the depletion of susceptibles, future waves of infection might be possible, if control measures or population behavior are relaxed.

摘要

2014年西非埃博拉病毒病(EVD)疫情是自首次发现该疾病以来报告的规模最大、持续时间最长的疫情。我们提出了一个用于埃博拉病毒病动态的 compartmental 模型,包括病毒在社区、医院和葬礼上的传播。使用随时间变化的参数,我们纳入了干预力度的增加。将该系统拟合到2014年西非埃博拉疫情的早期阶段,我们估计基本再生数为1.44。我们推导出一个最终规模关系,这使我们能够预测在实施有效干预措施时疫情期间的病例总数。我们的模型预测表明,只要任何国家有病例报告,干预策略就不能被放弃。由于当前疫情放缓的主要驱动因素不是易感人群的减少,如果控制措施或人群行为放松,未来可能会出现感染浪潮。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21e3/4510538/b1fe1e25e332/pone.0131398.g001.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