Print Email Facebook Twitter Impact of COVID-19 on multiple sclerosis topic discussion on Twitter Title Impact of COVID-19 on multiple sclerosis topic discussion on Twitter Author Giunti, Guido (TU Delft Applied Ergonomics and Design; University of Oulu) Claes, Maëlick (University of Oulu) Zubiete, Enrique Dorronzoro (University of Seville) Rivera-Romero, Octavio (University of Seville) Gabarron, Elia (University Hospital North Norway) Contributor Mantas, J. (editor) Date 2021 Abstract Introduction: Multiple sclerosis (MS) is one of the world's 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 ("Healthcare professional", "Chronic conditions", "Condition burden"), while in negative tweets "Emotional aspects" became more relevant and "COVID-19" emerged as a new topic. Conclusions: Our work provides insight on how COVID-19 has changed the online discourse of people with MS. Subject COVID-19Multiple SclerosisSentiment AnalysisSocial Media To reference this document use: http://resolver.tudelft.nl/uuid:52cf8653-6dd8-49ac-917d-d642663e6868 DOI https://doi.org/10.3233/SHTI210302 Publisher IOS Press ISBN 9781643681849 Source Public Health and Informatics: Proceedings of MIE 2021 Series Studies in Health Technology and Informatics, 281 Part of collection Institutional Repository Document type book chapter Rights © 2021 Guido Giunti, Maëlick Claes, Enrique Dorronzoro Zubiete, Octavio Rivera-Romero, Elia Gabarron Files PDF SHTI_281_SHTI210302.pdf 276.71 KB Close viewer /islandora/object/uuid:52cf8653-6dd8-49ac-917d-d642663e6868/datastream/OBJ/view