《Nature,4月2日,The COVID-19 Global Rheumatology Alliance: collecting data in a pandemic》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2020-04-03
  • The COVID-19 Global Rheumatology Alliance: collecting data in a pandemic

    Philip C. Robinson & Jinoos Yazdany

    Nature Reviews Rheumatology (2020)

    The global COVID-19 pandemic has the potential to severely affect those with rheumatic diseases or who are taking immunosuppressive therapies. Information is lacking as to how these groups will fare if they become infected. A global alliance has rapidly formed to try to address this information deficit.

  • 原文来源:https://www.nature.com/articles/s41584-020-0418-0
相关报告
  • 《Nature,4月2日,Cancer, COVID-19 and the precautionary principle: prioritizing treatment during a global pandemic》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-04-03
    • Cancer, COVID-19 and the precautionary principle: prioritizing treatment during a global pandemic Timothy P. Hanna, Gerald A. Evans & Christopher M. Booth Nature Reviews Clinical Oncology (2020) During the COVID-19 global pandemic, the cancer community faces many difficult questions. We will first discuss safety considerations for patients with cancer requiring treatment in SARS-CoV-2 endemic areas. We will then discuss a general framework for prioritizing cancer care, emphasizing the precautionary principle in decision making.
  • 《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.