PsyGrid:将电子科学应用于流行病学

J. Ainsworth, R. Harper, Ismael Juma, I. Buchan
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引用次数: 6

摘要

假设驱动的流行病学研究过程有三个阶段——从地理分布的人群中建立和描述一个大型的、有代表性的队列;将队列数据与其他数据源整合,以提供额外的特征;假设的形成和相应预测的产生。网格计算技术使安全、分布式协作以及跨管理边界共享数据源、计算资源和存储资源的能力成为可能。PsyGrid是一个电子科学项目,旨在将网格计算技术应用于这三个阶段中的每一个阶段,目的是消除阻碍流行病学研究的障碍。我们描述了一个分布式队列特征系统,并首次应用于首发精神病的研究
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PsyGrid: Applying e-Science to Epidemiology
The process of hypothesis-driven epidemiological research has three phases - the establishment and characterisation of a large, representative cohort from a geographically distributed population; the integration of the cohort data with other data sources to provide additional characterisation; the formulation of a hypothesis and generation of the corresponding predictions. Grid-computing technologies make possible secure, distributed collaboration, and the ability to share data sources, computational resources and storage resources across administrative boundaries. PsyGrid is an e-science project established to apply grid-computing technologies to each of the three phases, with the aim of eliminating the obstacles that hinder epidemiological research. We describe a system for distributed cohort characterisation, and the first application to the study of first episode psychosis
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