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COVID-19 in people with multiple sclerosis: A global data sharing initiative.

Liesbet M PeetersTina ParciakClare WaltonLotte GeysYves MoreauEdward De BrouwerDaniele RaimondiAshkan PirmaniTomas KalincikGilles EdanSteve Simpson YapLuc De RaedtYann DauxaisClément GautraisPaulo R RodriguesLandon McKennaNikola LazovskiJan HillertLars ForsbergTimothy SpelmanRobert McBurneyHollie SchmidtArnfin BergmannStefan BrauneAlexander StahmannRodden M MiddletonSalter AmberBruce F BeboJuan I RojasAnneke Van Der WaltHelmut ButzkuevenIngrid van der MeiRumen IvanovKerstin HellwigGuilherme Sciascia do OlivalJeffrey A CohenWim Van HeckeChu-Yueh GuoMelinda MagyariDoralina Guimarães BrumRicardo AlonsoRichard NicholasJohana BauerAnibal ChertcoffJérôme de SèzeCéline LouapreGiancarlo ComiNick Rijke
Published in: Multiple sclerosis (Houndmills, Basingstoke, England) (2020)
We reached a consensus on a core data set and established data sharing processes with multiple partners to address an urgent need for information to guide clinical practice. First results show that partners are motivated to share data to attain the ultimate joint goal: better understand the effect of COVID-19 in PwMS.
Keyphrases
  • electronic health record
  • multiple sclerosis
  • coronavirus disease
  • clinical practice
  • big data
  • sars cov
  • health information
  • social media
  • healthcare
  • data analysis
  • machine learning
  • artificial intelligence
  • white matter