COVID-19 in people with multiple sclerosis: A global data sharing initiative
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 eff...
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| Veröffentlicht in: | Multiple sclerosis 2020-09, Vol.26 (10), p.1157-1162 |
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| creator | Peeters, Liesbet M Parciak, Tina Walton, Clare Geys, Lotte Moreau, Yves De Brouwer, Edward Raimondi, Daniele Pirmani, Ashkan Kalincik, Tomas Edan, Gilles Simpson-Yap, Steve De Raedt, Luc Dauxais, Yann Gautrais, Clément Rodrigues, Paulo R McKenna, Landon Lazovski, Nikola Hillert, Jan Forsberg, Lars Spelman, Tim 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 Sciascia do Olival, Guilherme Cohen, Jeffrey A Van Hecke, Wim Dobson, Ruth Magyari, Melinda Brum, Doralina Guimarães Alonso, Ricardo Nicholas, Richard Bauer, Johana Chertcoff, Anibal de Sèze, Jérôme Louapre, Céline Comi, Giancarlo Rijke, Nick |
| description | 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. |
| doi_str_mv | 10.1177/1352458520941485 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_swepub_ki_se_469758</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_1352458520941485</sage_id><sourcerecordid>2423797825</sourcerecordid><originalsourceid>FETCH-LOGICAL-c584t-9bb53586c891ebb5faf6eb80a236ded032122c01b25758b79a3559606f5e1d723</originalsourceid><addsrcrecordid>eNp1kklv2zAQhYmiQZMmvfdUCOilPajhvvQQwHCXBDCQS9orQUmUzZSWVFJy0H_fMexsBnLikPO9xxlyEHpP8BdClDonTFAutKDYcMK1eIVOCFeqxEbh1xBDutzmj9HbnG8xxkox8QYdMyolVUKdoMX8-vfVt5KYInTF4Psh-uIujKtiPcUxbHe5jj71OeSvxaxYxr5ysWjc6Iq8cil0SxCGMbgxbPwZOmpdzP7dfj1Fv358v5lflovrn1fz2aKsheZjaapKMKFlrQ3xELeulb7S2FEmG99gRgmlNSYVFUroShnHhDASy1Z40ijKTlG58813fpgqO6Swdumf7V2w-6M_EHnLpQEH4M2L_JD65lF0LyScEymlNqC92GkBWPum9t2YXHxu8SzThZVd9hurmCSEMjD4vDNYHcguZwu7PcPMQH_SbAiwn_aXpf7v5PNo1yHXPkbX-X7KlnLKlFGaCkA_HqC3_ZQ6eHagOBVQusRA4R1Vwxfm5NuHCgi22xGyhyMEkg9PG34Q3M_Mk9d3S_9464uG_wG9Rc0m</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2442589360</pqid></control><display><type>article</type><title>COVID-19 in people with multiple sclerosis: A global data sharing initiative</title><source>Access via SAGE</source><source>MEDLINE</source><source>SWEPUB Freely available online</source><creator>Peeters, Liesbet M ; Parciak, Tina ; Walton, Clare ; Geys, Lotte ; Moreau, Yves ; De Brouwer, Edward ; Raimondi, Daniele ; Pirmani, Ashkan ; Kalincik, Tomas ; Edan, Gilles ; Simpson-Yap, Steve ; De Raedt, Luc ; Dauxais, Yann ; Gautrais, Clément ; Rodrigues, Paulo R ; McKenna, Landon ; Lazovski, Nikola ; Hillert, Jan ; Forsberg, Lars ; Spelman, Tim ; 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 ; Sciascia do Olival, Guilherme ; Cohen, Jeffrey A ; Van Hecke, Wim ; Dobson, Ruth ; Magyari, Melinda ; Brum, Doralina Guimarães ; Alonso, Ricardo ; Nicholas, Richard ; Bauer, Johana ; Chertcoff, Anibal ; de Sèze, Jérôme ; Louapre, Céline ; Comi, Giancarlo ; Rijke, Nick</creator><creatorcontrib>Peeters, Liesbet M ; Parciak, Tina ; Walton, Clare ; Geys, Lotte ; Moreau, Yves ; De Brouwer, Edward ; Raimondi, Daniele ; Pirmani, Ashkan ; Kalincik, Tomas ; Edan, Gilles ; Simpson-Yap, Steve ; De Raedt, Luc ; Dauxais, Yann ; Gautrais, Clément ; Rodrigues, Paulo R ; McKenna, Landon ; Lazovski, Nikola ; Hillert, Jan ; Forsberg, Lars ; Spelman, Tim ; 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 ; Sciascia do Olival, Guilherme ; Cohen, Jeffrey A ; Van Hecke, Wim ; Dobson, Ruth ; Magyari, Melinda ; Brum, Doralina Guimarães ; Alonso, Ricardo ; Nicholas, Richard ; Bauer, Johana ; Chertcoff, Anibal ; de Sèze, Jérôme ; Louapre, Céline ; Comi, Giancarlo ; Rijke, Nick</creatorcontrib><description>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.</description><identifier>ISSN: 1352-4585</identifier><identifier>ISSN: 1477-0970</identifier><identifier>EISSN: 1477-0970</identifier><identifier>DOI: 10.1177/1352458520941485</identifier><identifier>PMID: 32662757</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Betacoronavirus ; Coronavirus Infections - complications ; Coronavirus Infections - physiopathology ; Coronavirus Infections - therapy ; Coronaviruses ; COVID-19 ; Data Collection ; Datasets ; Future s ; Human health and pathology ; Humans ; Information Dissemination ; Information sharing ; International Cooperation ; Life Sciences ; Medicin och hälsovetenskap ; Multiple sclerosis ; Multiple Sclerosis - complications ; Multiple Sclerosis - therapy ; Pandemics ; Pneumonia, Viral - complications ; Pneumonia, Viral - physiopathology ; Pneumonia, Viral - therapy ; Registries ; Risk Factors ; SARS-CoV-2 ; Treatment Outcome</subject><ispartof>Multiple sclerosis, 2020-09, Vol.26 (10), p.1157-1162</ispartof><rights>The Author(s), 2020</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>The Author(s), 2020 2020 SAGE Publications</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c584t-9bb53586c891ebb5faf6eb80a236ded032122c01b25758b79a3559606f5e1d723</citedby><cites>FETCH-LOGICAL-c584t-9bb53586c891ebb5faf6eb80a236ded032122c01b25758b79a3559606f5e1d723</cites><orcidid>0000-0002-2130-4420 ; 0000-0001-6521-3056 ; 0000-0003-4549-1002 ; 0000-0001-9204-3216 ; 0000-0002-1088-110X ; 0000-0002-2993-585X ; 0000-0001-8486-9616 ; 0000-0002-4278-7003 ; 0000-0001-9245-9772 ; 0000-0002-6066-3899 ; 0000-0002-4987-1531 ; 0000-0002-7197-7578 ; 0000-0003-0214-4617</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/1352458520941485$$EPDF$$P50$$Gsage$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/1352458520941485$$EHTML$$P50$$Gsage$$Hfree_for_read</linktohtml><link.rule.ids>230,314,552,780,784,885,21819,27924,27925,43621,43622</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32662757$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03935569$$DView record in HAL$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:144166689$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Peeters, Liesbet M</creatorcontrib><creatorcontrib>Parciak, Tina</creatorcontrib><creatorcontrib>Walton, Clare</creatorcontrib><creatorcontrib>Geys, Lotte</creatorcontrib><creatorcontrib>Moreau, Yves</creatorcontrib><creatorcontrib>De Brouwer, Edward</creatorcontrib><creatorcontrib>Raimondi, Daniele</creatorcontrib><creatorcontrib>Pirmani, Ashkan</creatorcontrib><creatorcontrib>Kalincik, Tomas</creatorcontrib><creatorcontrib>Edan, Gilles</creatorcontrib><creatorcontrib>Simpson-Yap, Steve</creatorcontrib><creatorcontrib>De Raedt, Luc</creatorcontrib><creatorcontrib>Dauxais, Yann</creatorcontrib><creatorcontrib>Gautrais, Clément</creatorcontrib><creatorcontrib>Rodrigues, Paulo R</creatorcontrib><creatorcontrib>McKenna, Landon</creatorcontrib><creatorcontrib>Lazovski, Nikola</creatorcontrib><creatorcontrib>Hillert, Jan</creatorcontrib><creatorcontrib>Forsberg, Lars</creatorcontrib><creatorcontrib>Spelman, Tim</creatorcontrib><creatorcontrib>McBurney, Robert</creatorcontrib><creatorcontrib>Schmidt, Hollie</creatorcontrib><creatorcontrib>Bergmann, Arnfin</creatorcontrib><creatorcontrib>Braune, Stefan</creatorcontrib><creatorcontrib>Stahmann, Alexander</creatorcontrib><creatorcontrib>Middleton, Rodden</creatorcontrib><creatorcontrib>Salter, Amber</creatorcontrib><creatorcontrib>Bebo, Bruce F</creatorcontrib><creatorcontrib>Rojas, Juan I</creatorcontrib><creatorcontrib>van der Walt, Anneke</creatorcontrib><creatorcontrib>Butzkueven, Helmut</creatorcontrib><creatorcontrib>van der Mei, Ingrid</creatorcontrib><creatorcontrib>Ivanov, Rumen</creatorcontrib><creatorcontrib>Hellwig, Kerstin</creatorcontrib><creatorcontrib>Sciascia do Olival, Guilherme</creatorcontrib><creatorcontrib>Cohen, Jeffrey A</creatorcontrib><creatorcontrib>Van Hecke, Wim</creatorcontrib><creatorcontrib>Dobson, Ruth</creatorcontrib><creatorcontrib>Magyari, Melinda</creatorcontrib><creatorcontrib>Brum, Doralina Guimarães</creatorcontrib><creatorcontrib>Alonso, Ricardo</creatorcontrib><creatorcontrib>Nicholas, Richard</creatorcontrib><creatorcontrib>Bauer, Johana</creatorcontrib><creatorcontrib>Chertcoff, Anibal</creatorcontrib><creatorcontrib>de Sèze, Jérôme</creatorcontrib><creatorcontrib>Louapre, Céline</creatorcontrib><creatorcontrib>Comi, Giancarlo</creatorcontrib><creatorcontrib>Rijke, Nick</creatorcontrib><title>COVID-19 in people with multiple sclerosis: A global data sharing initiative</title><title>Multiple sclerosis</title><addtitle>Mult Scler</addtitle><description>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.</description><subject>Betacoronavirus</subject><subject>Coronavirus Infections - complications</subject><subject>Coronavirus Infections - physiopathology</subject><subject>Coronavirus Infections - therapy</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Data Collection</subject><subject>Datasets</subject><subject>Future s</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Information Dissemination</subject><subject>Information sharing</subject><subject>International Cooperation</subject><subject>Life Sciences</subject><subject>Medicin och hälsovetenskap</subject><subject>Multiple sclerosis</subject><subject>Multiple Sclerosis - complications</subject><subject>Multiple Sclerosis - therapy</subject><subject>Pandemics</subject><subject>Pneumonia, Viral - complications</subject><subject>Pneumonia, Viral - physiopathology</subject><subject>Pneumonia, Viral - therapy</subject><subject>Registries</subject><subject>Risk Factors</subject><subject>SARS-CoV-2</subject><subject>Treatment 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in people with multiple sclerosis: A global data sharing initiative</title><author>Peeters, Liesbet M ; Parciak, Tina ; Walton, Clare ; Geys, Lotte ; Moreau, Yves ; De Brouwer, Edward ; Raimondi, Daniele ; Pirmani, Ashkan ; Kalincik, Tomas ; Edan, Gilles ; Simpson-Yap, Steve ; De Raedt, Luc ; Dauxais, Yann ; Gautrais, Clément ; Rodrigues, Paulo R ; McKenna, Landon ; Lazovski, Nikola ; Hillert, Jan ; Forsberg, Lars ; Spelman, Tim ; 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 ; Sciascia do Olival, Guilherme ; Cohen, Jeffrey A ; Van Hecke, Wim ; Dobson, Ruth ; Magyari, Melinda ; Brum, Doralina Guimarães ; Alonso, Ricardo ; Nicholas, Richard ; Bauer, Johana ; Chertcoff, Anibal ; de Sèze, Jérôme ; Louapre, Céline ; Comi, Giancarlo ; Rijke, 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Kerstin</creatorcontrib><creatorcontrib>Sciascia do Olival, Guilherme</creatorcontrib><creatorcontrib>Cohen, Jeffrey A</creatorcontrib><creatorcontrib>Van Hecke, Wim</creatorcontrib><creatorcontrib>Dobson, Ruth</creatorcontrib><creatorcontrib>Magyari, Melinda</creatorcontrib><creatorcontrib>Brum, Doralina Guimarães</creatorcontrib><creatorcontrib>Alonso, Ricardo</creatorcontrib><creatorcontrib>Nicholas, Richard</creatorcontrib><creatorcontrib>Bauer, Johana</creatorcontrib><creatorcontrib>Chertcoff, Anibal</creatorcontrib><creatorcontrib>de Sèze, Jérôme</creatorcontrib><creatorcontrib>Louapre, Céline</creatorcontrib><creatorcontrib>Comi, Giancarlo</creatorcontrib><creatorcontrib>Rijke, Nick</creatorcontrib><collection>Sage Journals GOLD Open Access 2024</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>Multiple sclerosis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peeters, Liesbet M</au><au>Parciak, Tina</au><au>Walton, Clare</au><au>Geys, Lotte</au><au>Moreau, Yves</au><au>De Brouwer, Edward</au><au>Raimondi, Daniele</au><au>Pirmani, Ashkan</au><au>Kalincik, Tomas</au><au>Edan, Gilles</au><au>Simpson-Yap, Steve</au><au>De Raedt, Luc</au><au>Dauxais, Yann</au><au>Gautrais, Clément</au><au>Rodrigues, Paulo R</au><au>McKenna, Landon</au><au>Lazovski, Nikola</au><au>Hillert, Jan</au><au>Forsberg, Lars</au><au>Spelman, Tim</au><au>McBurney, Robert</au><au>Schmidt, Hollie</au><au>Bergmann, Arnfin</au><au>Braune, Stefan</au><au>Stahmann, Alexander</au><au>Middleton, Rodden</au><au>Salter, Amber</au><au>Bebo, Bruce F</au><au>Rojas, Juan I</au><au>van der Walt, Anneke</au><au>Butzkueven, Helmut</au><au>van der Mei, Ingrid</au><au>Ivanov, Rumen</au><au>Hellwig, Kerstin</au><au>Sciascia do Olival, Guilherme</au><au>Cohen, Jeffrey A</au><au>Van Hecke, Wim</au><au>Dobson, Ruth</au><au>Magyari, Melinda</au><au>Brum, Doralina Guimarães</au><au>Alonso, Ricardo</au><au>Nicholas, Richard</au><au>Bauer, Johana</au><au>Chertcoff, Anibal</au><au>de Sèze, Jérôme</au><au>Louapre, Céline</au><au>Comi, Giancarlo</au><au>Rijke, Nick</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>COVID-19 in people with multiple sclerosis: A global data sharing initiative</atitle><jtitle>Multiple sclerosis</jtitle><addtitle>Mult Scler</addtitle><date>2020-09-01</date><risdate>2020</risdate><volume>26</volume><issue>10</issue><spage>1157</spage><epage>1162</epage><pages>1157-1162</pages><issn>1352-4585</issn><issn>1477-0970</issn><eissn>1477-0970</eissn><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.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>32662757</pmid><doi>10.1177/1352458520941485</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-2130-4420</orcidid><orcidid>https://orcid.org/0000-0001-6521-3056</orcidid><orcidid>https://orcid.org/0000-0003-4549-1002</orcidid><orcidid>https://orcid.org/0000-0001-9204-3216</orcidid><orcidid>https://orcid.org/0000-0002-1088-110X</orcidid><orcidid>https://orcid.org/0000-0002-2993-585X</orcidid><orcidid>https://orcid.org/0000-0001-8486-9616</orcidid><orcidid>https://orcid.org/0000-0002-4278-7003</orcidid><orcidid>https://orcid.org/0000-0001-9245-9772</orcidid><orcidid>https://orcid.org/0000-0002-6066-3899</orcidid><orcidid>https://orcid.org/0000-0002-4987-1531</orcidid><orcidid>https://orcid.org/0000-0002-7197-7578</orcidid><orcidid>https://orcid.org/0000-0003-0214-4617</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1352-4585 |
| ispartof | Multiple sclerosis, 2020-09, Vol.26 (10), p.1157-1162 |
| issn | 1352-4585 1477-0970 1477-0970 |
| language | eng |
| recordid | cdi_swepub_primary_oai_swepub_ki_se_469758 |
| source | Access via SAGE; MEDLINE; SWEPUB Freely available online |
| subjects | Betacoronavirus Coronavirus Infections - complications Coronavirus Infections - physiopathology Coronavirus Infections - therapy Coronaviruses COVID-19 Data Collection Datasets Future s Human health and pathology Humans Information Dissemination Information sharing International Cooperation Life Sciences Medicin och hälsovetenskap Multiple sclerosis Multiple Sclerosis - complications Multiple Sclerosis - therapy Pandemics Pneumonia, Viral - complications Pneumonia, Viral - physiopathology Pneumonia, Viral - therapy Registries Risk Factors SARS-CoV-2 Treatment Outcome |
| title | COVID-19 in people with multiple sclerosis: A global data sharing initiative |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T00%3A03%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=COVID-19%20in%20people%20with%20multiple%20sclerosis:%20A%20global%20data%20sharing%20initiative&rft.jtitle=Multiple%20sclerosis&rft.au=Peeters,%20Liesbet%20M&rft.date=2020-09-01&rft.volume=26&rft.issue=10&rft.spage=1157&rft.epage=1162&rft.pages=1157-1162&rft.issn=1352-4585&rft.eissn=1477-0970&rft_id=info:doi/10.1177/1352458520941485&rft_dat=%3Cproquest_swepu%3E2423797825%3C/proquest_swepu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2442589360&rft_id=info:pmid/32662757&rft_sage_id=10.1177_1352458520941485&rfr_iscdi=true |