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基于系统发育推断推断狂犬病病毒扩散历史的研究:综述。

On the Use of Phylogeographic Inference to Infer the Dispersal History of Rabies Virus: A Review Study.

机构信息

Department of Microbiology, Immunology and Transplantation, Rega Institute KU Leuven, 3000 Leuven, Belgium.

Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Sorbonne Université, UMR2000, CNRS, 75015 Paris, France.

出版信息

Viruses. 2021 Aug 17;13(8):1628. doi: 10.3390/v13081628.

Abstract

Rabies is a neglected zoonotic disease which is caused by negative strand RNA-viruses belonging to the genus . Within this genus, rabies viruses circulate in a diverse set of mammalian reservoir hosts, is present worldwide, and is almost always fatal in non-vaccinated humans. Approximately 59,000 people are still estimated to die from rabies each year, leading to a global initiative to work towards the goal of zero human deaths from dog-mediated rabies by 2030, requiring scientific efforts from different research fields. The past decade has seen a much increased use of phylogeographic and phylodynamic analyses to study the evolution and spread of rabies virus. We here review published studies in these research areas, making a distinction between the geographic resolution associated with the available sequence data. We pay special attention to environmental factors that these studies found to be relevant to the spread of rabies virus. Importantly, we highlight a knowledge gap in terms of applying these methods when all required data were available but not fully exploited. We conclude with an overview of recent methodological developments that have yet to be applied in phylogeographic and phylodynamic analyses of rabies virus.

摘要

狂犬病是一种被忽视的人畜共患疾病,由属于 属的负链 RNA 病毒引起。在该属中,狂犬病病毒在多种哺乳动物宿主中循环传播,分布于全球各地,并且在未接种疫苗的人类中几乎总是致命的。目前每年仍有约 59000 人估计死于狂犬病,这导致了一项全球倡议,即努力实现到 2030 年消除由狗介导的狂犬病导致的人类死亡,这需要来自不同研究领域的科学努力。过去十年中,越来越多地使用系统地理学和系统动力学分析来研究狂犬病病毒的进化和传播。我们在此回顾了这些研究领域的已发表研究,并根据可用序列数据的地理分辨率进行了区分。我们特别关注这些研究发现与狂犬病病毒传播相关的环境因素。重要的是,我们强调了在有所有必要数据但未充分利用的情况下应用这些方法的知识差距。最后,我们概述了最近的方法学发展,这些发展尚未应用于狂犬病病毒的系统地理学和系统动力学分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/166c/8402743/d957a09f9838/viruses-13-01628-g001.jpg

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