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Following data as it crosses borders during the COVID-19 pandemic.
Plasek, Joseph M; Tang, Chunlei; Zhu, Yangyong; Huang, Yajun; Bates, David W.
  • Plasek JM; Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Tang C; Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Zhu Y; School of Computer Science, Fudan University, Shanghai, China.
  • Huang Y; School of Economics, Fudan University, Shanghai, China.
  • Bates DW; Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
J Am Med Inform Assoc ; 27(7): 1139-1141, 2020 07 01.
Article in English | MEDLINE | ID: covidwho-1066351
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Information Dissemination / Pandemics / Betacoronavirus / Health Information Interoperability Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: Jamia

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Information Dissemination / Pandemics / Betacoronavirus / Health Information Interoperability Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: Jamia