Suppr超能文献

流行病学数据与病原体基因组序列:公共卫生领域的强大协同作用。

Epidemiologic data and pathogen genome sequences: a powerful synergy for public health.

作者信息

Grad Yonatan H, Lipsitch Marc

出版信息

Genome Biol. 2014 Nov 18;15(11):538. doi: 10.1186/s13059-014-0538-4.

Abstract

Epidemiologists aim to inform the design of public health interventions with evidence on the evolution, emergence and spread of infectious diseases. Sequencing of pathogen genomes, together with date, location, clinical manifestation and other relevant data about sample origins, can contribute to describing nearly every aspect of transmission dynamics, including local transmission and global spread. The analyses of these data have implications for all levels of clinical and public health practice, from institutional infection control to policies for surveillance, prevention and treatment. This review highlights the range of epidemiological questions that can be addressed from the combination of genome sequence and traditional 'line lists' (tables of epidemiological data where each line includes demographic and clinical features of infected individuals). We identify opportunities for these data to inform interventions that reduce disease incidence and prevalence. By considering current limitations of, and challenges to, interpreting these data, we aim to outline a research agenda to accelerate the genomics-driven transformation in public health microbiology.

摘要

流行病学家旨在依据传染病的演变、出现和传播的证据,为公共卫生干预措施的设计提供信息。对病原体基因组进行测序,再结合样本来源的日期、地点、临床表现及其他相关数据,有助于描述传播动态的几乎各个方面,包括本地传播和全球传播。这些数据分析对各级临床和公共卫生实践均有影响,从机构感染控制到监测、预防和治疗政策。本综述强调了结合基因组序列和传统“病例清单”(流行病学数据表,每行包含感染者的人口统计学和临床特征)能够解决的一系列流行病学问题。我们确定了利用这些数据为降低疾病发病率和患病率的干预措施提供信息的机会。通过考虑解释这些数据当前存在的局限性和挑战,我们旨在勾勒出一个研究议程,以加速公共卫生微生物学中由基因组学驱动的变革。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89a9/4282151/fbc2d2020dbf/13059_2014_538_Fig1_HTML.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