疫情爆发时基因组和流行病学数据的综合可视化。

IF 2.5 4区 医学 Q3 INFECTIOUS DISEASES Epidemiology and Infection Pub Date : 2024-09-30 DOI:10.1017/S0950268824001092
Carl J E Suster, Anne E Watt, Qinning Wang, Sharon C-A Chen, Jen Kok, Vitali Sintchenko
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引用次数: 0

摘要

在流行病学调查中,病原体基因组学可以提供传统流行病学无法提供的见解并检验流行病学假设。将基因组分析与其他类型的数据综合起来的工具是基因组流行病学的关键要求。我们提出了一种新的 "phylepic "可视化方法,将系统发生树与流行病曲线相结合。这种组合能将系统树中的分子时间与流行病曲线中的日历时间直观地联系起来,而现有的工具并不容易体现这种对应关系。我们以食源性细菌疫情为例,证明了系统树图能说明看似点源疫情实际上是由两个基因不同的细菌支系相关的病例组成的。我们提供了一个实现该图表的 R 软件包。我们预计,将基因组分析置于流行病学背景下的可视化方法对于传染病的爆发调查和公共卫生监测将变得越来越重要。
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Combined visualization of genomic and epidemiological data for outbreaks.

In epidemiological investigations, pathogen genomics can provide insights and test epidemiological hypotheses that would not have been possible through traditional epidemiology. Tools to synthesize genomic analysis with other types of data are a key requirement of genomic epidemiology. We propose a new 'phylepic' visualization that combines a phylogenomic tree with an epidemic curve. The combination visually links the molecular time represented in the tree to the calendar time in the epidemic curve, a correspondence that is not easily represented by existing tools. Using an example derived from a foodborne bacterial outbreak, we demonstrated that the phylepic chart communicates that what appeared to be a point-source outbreak was in fact composed of cases associated with two genetically distinct clades of bacteria. We provide an R package implementing the chart. We expect that visualizations that place genomic analyses within the epidemiological context will become increasingly important for outbreak investigations and public health surveillance of infectious diseases.

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来源期刊
Epidemiology and Infection
Epidemiology and Infection 医学-传染病学
CiteScore
4.10
自引率
2.40%
发文量
366
审稿时长
3-6 weeks
期刊介绍: Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.
期刊最新文献
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