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塞拉利昂埃博拉病毒病传播的系统发育分析。

Phylodynamic Analysis of Ebola Virus Disease Transmission in Sierra Leone.

机构信息

Centre for Emerging Zoonotic and Parasitic Diseases, National Institute for Communicable Diseases of the National Health Laboratory Service, Sandringham 2131, South Africa.

Center for Genome Sciences, United States Army Medical Research Institute for Infectious Diseases, Fort Detrick, MD 21702, USA.

出版信息

Viruses. 2019 Jan 16;11(1):71. doi: 10.3390/v11010071.

Abstract

We generated genome sequences from 218 cases of Ebola virus disease (EVD) in Sierra Leone (SLE) during 2014⁻2015 to complement available datasets, particularly by including cases from a period of low sequence coverage during peak transmission of Ebola virus (EBOV) in the highly-affected Western Area division of SLE. The combined dataset was utilized to produce phylogenetic and phylodynamic inferences, to study sink⁻source dynamics and virus dispersal from highly-populated transmission hotspots. We identified four districts in SLE where EBOV was introduced and transmission occurred without onward exportation to other districts. We also identified six districts that substantially contributed to the dispersal of the virus and prolonged the EVD outbreak: five of these served as major hubs, with lots of movement in and out, and one acted primarily as a source, exporting the virus to other areas of the country. Positive correlations between case numbers, inter-district transition events, and district population sizes reaffirm that population size was a driver of EBOV transmission dynamics in SLE. The data presented here confirm the role of urban hubs in virus dispersal and of a delayed laboratory response in the expansion and perpetuation of the EVD outbreak in SLE.

摘要

我们从塞拉利昂(SLE)2014-2015 年的 218 例埃博拉病毒病(EVD)病例中生成了基因组序列,以补充现有数据集,特别是包括在 SLE 受影响最严重的西部地区 EBOV 传播高峰期序列覆盖率较低的时期的病例。综合数据集用于进行系统发育和系统动态学推断,研究从人口密集的传播热点向高发性疾病地区的病毒传播和扩散。我们在 SLE 中发现了四个地区,EBOV 在这里传入并发生传播,而没有向其他地区输出。我们还确定了六个地区在病毒的传播和延长 EVD 疫情方面做出了重大贡献:其中五个地区是主要枢纽,进出流量大,一个地区主要作为传染源,将病毒输出到该国其他地区。病例数量、地区间转移事件和地区人口规模之间的正相关关系再次证实,人口规模是 SLE 中 EBOV 传播动态的驱动因素。这里提供的数据证实了城市枢纽在病毒传播中的作用,以及实验室反应延迟在 SLE 中扩大和延续 EVD 疫情中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/6356631/1b1009071b72/viruses-11-00071-g001.jpg

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