{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T19:11:50Z","timestamp":1648840310971},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T00:00:00Z","timestamp":1622073600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,27]]},"abstract":"<jats:p>Introduction: Multiple sclerosis (MS) is one of the world\u2019s most common neurologic disorders. Social media have been proposed as a way to maintain and even increase social interaction for people with MS. The objective of this work is to identify and compare the topics on Twitter during the first wave of COVID-19 pandemic. Methods: Data was collected using the Twitter API between 9\/2\/2019 and 13\/5\/2020. SentiStrength was used to analyze data with the day that the pandemic was declared used as a turning point. Frequency-inverse document frequency (tf-idf) was used for each unigram and calculated the gains in tf-idf value. A comparative analysis of the relevance of words and categories among the datasets was performed. Results: The original dataset contained over 610k tweets, our final dataset had 147,963 tweets. After the 10th of march some categories gained relevance in positive tweets (\u201cHealthcare professional\u201d, \u201cChronic conditions\u201d, \u201cCondition burden\u201d), while in negative tweets \u201cEmotional aspects\u201d became more relevant and \u201cCOVID-19\u201d emerged as a new topic. Conclusions: Our work provides insight on how COVID-19 has changed the online discourse of people with MS.<\/jats:p>","DOI":"10.3233\/shti210302","type":"book-chapter","created":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T14:29:27Z","timestamp":1622125767000},"source":"Crossref","is-referenced-by-count":0,"title":["Impact of COVID-19 on Multiple Sclerosis Topic Discussion on Twitter"],"prefix":"10.3233","author":[{"given":"Guido","family":"Giunti","sequence":"first","affiliation":[{"name":"University of Oulu, Finland"},{"name":"TU Delft, The Netherlands"}]},{"given":"Ma\u00eblick","family":"Claes","sequence":"additional","affiliation":[{"name":"University of Oulu, Finland"}]},{"given":"Enrique Dorronzoro","family":"Zubiete","sequence":"additional","affiliation":[{"name":"Universidad de Sevilla, Spain"}]},{"given":"Octavio","family":"Rivera-Romero","sequence":"additional","affiliation":[{"name":"Universidad de Sevilla, Spain"},{"name":"I3US: Research Institute of Computer Engineering, Universidad de Sevilla, Spain"}]},{"given":"Elia","family":"Gabarron","sequence":"additional","affiliation":[{"name":"Norwegian Centre for E-health Research, University Hospital North Norway, Norway"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Public Health and Informatics"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210302","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T13:15:27Z","timestamp":1635167727000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210302"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,27]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210302","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,27]]}}}