首页> 美国卫生研究院文献>Learning Health Systems >Addressing the Covid‐19 pandemic and future public health challenges through global collaboration and a data‐driven systems approach
【2h】

Addressing the Covid‐19 pandemic and future public health challenges through global collaboration and a data‐driven systems approach

机译:通过全球合作和数据驱动系统方法解决Covid-19大流行和未来的公共卫生挑战

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Covid‐19 has already taught us that the greatest public health challenges of our generation will show no respect for national boundaries, will impact lives and health of people of all nations, and will affect economies and quality of life in unprecedented ways. The types of rapid learning envisioned to address Covid‐19 and future public health crises require a systems approach that enables sharing of data and lessons learned at scale. Agreement on a systems approach augmented by technology and standards will be foundational to making such learning meaningful and to ensuring its scientific integrity. With this purpose in mind, a group of individuals from Spain, Italy, and the United States have formed a transatlantic collaboration, with the aim of generating a proposed comprehensive standards‐based systems approach and data‐driven framework for collection, management, and analysis of high‐quality data. This framework will inform decisions in managing clinical responses and social measures to overcome the Covid‐19 global pandemic and to prepare for future public health crises. We first argue that standardized data of the type now common in global regulated clinical research is the essential fuel that will power a global system for addressing (and preventing) current and future pandemics. We then present a blueprint for a system that will put these data to use in driving a range of key decisions. In the context of this system, we describe and categorize the specific types of data the system will require for different purposes and document the standards currently in use for each of these categories in the three nations participating in this work. In so doing, we anticipate some of the challenges to harmonizing these data but also suggest opportunities for further global standardization and harmonization. While we have scaled this transnational effort to three nations, we hope to stimulate an international dialogue with a culmination of realizing such a system.
机译:Covid-19已经教授我们这一代最大的公共卫生挑战将展示不尊重国家界限,将影响所有国家人民的生命和健康,并以前所未有的方式影响经济和生活质量。旨在解决Covid-19和未来公共卫生危机的快速学习类型需要一种系统方法,可以在规模中分享数据和经验教训。通过技术和标准增强的系统方法的协议将是建立有意义的学习的基础,并确保其科学诚信。考虑到这一目的,来自西班牙,意大利和美国的一群人已经形成了跨大西洋合作,目的是为收集,管理和分析产生建议的全面标准的系统方法和数据驱动框架高质量数据。该框架将在管理临床应对和社会措施方面提供决策,以克服Covid-19全球大流行,并为未来的公共卫生危机做好准备。首先,我们认为,目前类型的全球监管的临床研究通用的标准化的数据是,将权力解决(和预防)目前和未来的流行病的全球系统的基本燃料。然后,我们为系统提供了一个蓝图,该系统将使这些数据放在驱动一系列关键决策时。在该系统的上下文中,我们描述并分类了系统需要不同目的所需的特定类型的数据,并在参与这项工作的三个国家中的每个类别中记录目前使用的标准。在这样做时,我们预计协调这些数据的一些挑战,而且还建议了进一步全球标准化和协调的机会。虽然我们向三个国家扩大了这种跨国努力,但我们希望刺激国际对话,以实现这一制度的高潮。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号