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在 COVID-19 大流行期间,跟踪跨越国界的数据。

Following data as it crosses borders during the COVID-19 pandemic.

机构信息

Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

School of Computer Science, Fudan University, Shanghai, China.

出版信息

J Am Med Inform Assoc. 2020 Jul 1;27(7):1139-1141. doi: 10.1093/jamia/ocaa063.

Abstract

Data change the game in terms of how we respond to pandemics. Global data on disease trajectories and the effectiveness and economic impact of different social distancing measures are essential to facilitate effective local responses to pandemics. COVID-19 data flowing across geographic borders are extremely useful to public health professionals for many purposes such as accelerating the pharmaceutical development pipeline, and for making vital decisions about intensive care unit rooms, where to build temporary hospitals, or where to boost supplies of personal protection equipment, ventilators, or diagnostic tests. Sharing data enables quicker dissemination and validation of pharmaceutical innovations, as well as improved knowledge of what prevention and mitigation measures work. Even if physical borders around the globe are closed, it is crucial that data continues to transparently flow across borders to enable a data economy to thrive, which will promote global public health through global cooperation and solidarity.

摘要

数据改变了我们应对大流行病的方式。有关疾病轨迹以及不同社会隔离措施的有效性和经济影响的全球数据,对于促进大流行病的有效地方应对至关重要。跨越地理边界流动的 COVID-19 数据对于公共卫生专业人员来说非常有用,可用于加速药物研发管道,以及就重症监护室病房、临时医院建设地点、个人防护设备、呼吸机或诊断测试供应的增加做出重要决策。数据共享可促进药物创新的更快传播和验证,并提高对哪些预防和缓解措施有效的认识。即使全球各地的物理边界关闭,至关重要的是数据仍能继续跨越边界透明流动,以促进数据经济的繁荣,这将通过全球合作和团结促进全球公共卫生。

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