《Nature,4月8日,Pandemic data challenges》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2020-04-09
  • Pandemic data challenges

    Nature Machine Intelligence (2020)

    The worldwide outbreak of COVID-19 has led to great tragedy and poses unprecedented challenges for countries’ healthcare systems. Data has become an important instrument in the global fight against the unprecedented spread of the virus. But how will we ensure a return to previous forms of data privacy once the pandemic subsides?

    In a bid to help curb a disastrous course of the disease, scientists are coming together to share research findings and data as quickly and collaboratively as possible. Immediate goals are to understand what measures can slow the spread of COVID-19, which people are the most vulnerable and how to treat critical patients under challenging circumstances. In the medium term, data-driven approaches can help crack the virus’s biology to develop and test vaccines.

  • 原文来源:https://www.nature.com/articles/s42256-020-0172-7
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