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汇总队列资料简介:ReCoDID 联盟急性发热性疾病虫媒病毒元队列的协调一致。

Pooled Cohort Profile: ReCoDID Consortium's Harmonized Acute Febrile Illness Arbovirus Meta-Cohort.

机构信息

Grupo de Epidemiología Clínica, Universidad Industrial de Santander, Bucaramanga, Colombia.

Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Germany.

出版信息

JMIR Public Health Surveill. 2024 Jul 23;10:e54281. doi: 10.2196/54281.

Abstract

Infectious disease (ID) cohorts are key to advancing public health surveillance, public policies, and pandemic responses. Unfortunately, ID cohorts often lack funding to store and share clinical-epidemiological (CE) data and high-dimensional laboratory (HDL) data long term, which is evident when the link between these data elements is not kept up to date. This becomes particularly apparent when smaller cohorts fail to successfully address the initial scientific objectives due to limited case numbers, which also limits the potential to pool these studies to monitor long-term cross-disease interactions within and across populations. CE data from 9 arbovirus (arthropod-borne viruses) cohorts in Latin America were retrospectively harmonized using the Maelstrom Research methodology and standardized to Clinical Data Interchange Standards Consortium (CDISC). We created a harmonized and standardized meta-cohort that contains CE and HDL data from 9 arbovirus studies from Latin America. To facilitate advancements in cross-population inference and reuse of cohort data, the Reconciliation of Cohort Data for Infectious Diseases (ReCoDID) Consortium harmonized and standardized CE and HDL from 9 arbovirus cohorts into 1 meta-cohort. Interested parties will be able to access data dictionaries that include information on variables across the data sets via Bio Studies. After consultation with each cohort, linked harmonized and curated human cohort data (CE and HDL) will be made accessible through the European Genome-phenome Archive platform to data users after their requests are evaluated by the ReCoDID Data Access Committee. This meta-cohort can facilitate various joint research projects (eg, on immunological interactions between sequential flavivirus infections and for the evaluation of potential biomarkers for severe arboviral disease).

摘要

传染病(ID)队列对于推进公共卫生监测、公共政策和大流行应对至关重要。不幸的是,ID 队列通常缺乏资金来长期存储和共享临床流行病学(CE)数据和高维实验室(HDL)数据,当这些数据元素之间的联系没有及时更新时,就会出现这种情况。当较小的队列由于病例数量有限而无法成功实现最初的科学目标时,这种情况尤其明显,这也限制了这些研究的潜力,无法监测人群内和人群间长期的跨疾病相互作用。使用 Maelstrom Research 方法对拉丁美洲 9 个虫媒病毒(节肢动物传播的病毒)队列的回顾性 CE 数据进行了调和,并按照临床数据交换标准协会(CDISC)进行了标准化。我们创建了一个协调和标准化的综合队列,其中包含来自拉丁美洲 9 个虫媒病毒研究的 CE 和 HDL 数据。为了促进跨人群推断和队列数据的重复使用,传染病队列数据协调(ReCoDID)联盟将 9 个虫媒病毒队列的 CE 和 HDL 进行了协调和标准化,纳入了 1 个综合队列。感兴趣的各方将能够通过 BioStudies 访问包含跨数据集变量信息的数据字典。在与每个队列协商后,经 ReCoDID 数据访问委员会评估请求后,将通过欧洲基因组-表型档案平台向数据用户提供经过链接调和的和精心整理的人类队列数据(CE 和 HDL)。该综合队列可以促进各种联合研究项目(例如,关于顺序黄病毒感染之间的免疫学相互作用,以及评估严重虫媒病毒病的潜在生物标志物)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4b7/11288473/3ce13bb539de/publichealth_v10i1e54281_fig1.jpg

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