Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/32545
Title: COVID-19 in people with multiple sclerosis: A global data sharing initiative
Authors: PEETERS, Liesbet 
PARCIAK, Tina 
Walton, Clare
GEYS, Lotte 
Moreau, Yves
DE BROUWER, Edward 
Raimondi, Daniele
PIRMANI, Ashkan 
Kalincik, Tomas
Edan, Gilles
Simpson-Yap, Steve
DE RAEDT, Sylvie 
Dauxais, Yann
Gautrais, Clement
Rodrigues, Paulo R.
McKenna, Landon
Lazovski, Nikola
Hillert, Jan
Forsberg, Lars
SPELMANS, Nele 
McBurney, Robert
Schmidt, Hollie
Bergmann, Arnfin
Braune, Stefan
Stahmann, Alexander
Middleton, Rodden
Salter, Amber
Bebo, Bruce F.
Rojas, Juan, I
van der Walt, Anneke
Butzkueven, Helmut
van der Mei, Ingrid
Ivanov, Rumen
Hellwig, Kerstin
do Olival, Guilherme Sciascia
Cohen, Jeffrey A.
Van Hecke, Wim
Dobson, Ruth
Magyari, Melinda
Brum, Doralina Guimaraes
Alonso, Ricardo
Nicholas, Richard
Bauer, Johana
Chertcoff, Anibal
de Seze, Jerome
Louapre, Celine
Comi, Giancarlo
Rijke, Nick
Issue Date: 2020
Publisher: SAGE PUBLICATIONS LTD
Source: MULTIPLE SCLEROSIS JOURNAL, 26 (10) , p. 1157 -1162
Abstract: Background: We need high-quality data to assess the determinants for COVID-19 severity in people with MS (PwMS). Several studies have recently emerged but there is great benefit in aligning data collection efforts at a global scale. Objectives: Our mission is to scale-up COVID-19 data collection efforts and provide the MS community with data-driven insights as soon as possible. Methods: Numerous stakeholders were brought together. Small dedicated interdisciplinary task forces were created to speed-up the formulation of the study design and work plan. First step was to agree upon a COVID-19 MS core data set. Second, we worked on providing a user-friendly and rapid pipeline to share COVID-19 data at a global scale. Results: The COVID-19 MS core data set was agreed within 48 hours. To date, 23 data collection partners are involved and the first data imports have been performed successfully. Data processing and analysis is an on-going process. Conclusions: 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.
Notes: Peeters, LM (corresponding author), Hasselt Univ, Biomed Res Inst, Agoralaan Bldg C, B-3590 Diepenbeek, Belgium.; Peeters, LM (corresponding author), Hasselt Univ, Data Sci Inst, Agoralaan Bldg C, B-3590 Diepenbeek, Belgium.
liesbet.peeters@uhasselt.be
Other: Peeters, LM (corresponding author), Hasselt Univ, Biomed Res Inst, Agoralaan Bldg C, B-3590 Diepenbeek, Belgium; Hasselt Univ, Data Sci Inst, Agoralaan Bldg C, B-3590 Diepenbeek, Belgium. liesbet.peeters@uhasselt.be
Keywords: Multiple sclerosis;pandemics;COVID-19;data collection;registries;coronavirus 2;humans
Document URI: http://hdl.handle.net/1942/32545
ISSN: 1352-4585
e-ISSN: 1477-0970
DOI: 10.1177/1352458520941485
ISI #: WOS:000548876400001
Rights: The Author(s), 2020. Article reuse guidelines: CC-BY-NC sagepub.com/journalspermissions
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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