This paper is in the following e-collection/theme issue:

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1618) Infodemiology and Infoveillance (1331) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1031) Pharmacovigilance (132)

Published on in Vol 21, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13003, first published .
Social Media Surveillance of Multiple Sclerosis Medications Used During Pregnancy and Breastfeeding: Content Analysis

Social Media Surveillance of Multiple Sclerosis Medications Used During Pregnancy and Breastfeeding: Content Analysis

Social Media Surveillance of Multiple Sclerosis Medications Used During Pregnancy and Breastfeeding: Content Analysis

Authors of this article:

Bita Rezaallah1, 2 Author Orcid Image ;   David John Lewis2, 3 Author Orcid Image ;   Carrie Pierce4 Author Orcid Image ;   Hans-Florian Zeilhofer5, 6 Author Orcid Image ;   Britt-Isabelle Berg5, 6 Author Orcid Image
Article Authors Cited by (19) Tweetations (13) Metrics

Journals

  1. Safarnejad L, Xu Q, Ge Y, Bagavathi A, Krishnan S, Chen S. Identifying Influential Factors in the Discussion Dynamics of Emerging Health Issues on Social Media: Computational Study. JMIR Public Health and Surveillance 2020;6(3):e17175 View
  2. Wexler A, Davoudi A, Weissenbacher D, Choi R, O’Connor K, Cummings H, Gonzalez-Hernandez G, Duplaga M. Pregnancy and health in the age of the Internet: A content analysis of online “birth club” forums. PLOS ONE 2020;15(4):e0230947 View
  3. Audeh B, Bellet F, Beyens M, Lillo-Le Louët A, Bousquet C. Use of Social Media for Pharmacovigilance Activities: Key Findings and Recommendations from the Vigi4Med Project. Drug Safety 2020;43(9):835 View
  4. van Stekelenborg J, Ellenius J, Maskell S, Bergvall T, Caster O, Dasgupta N, Dietrich J, Gama S, Lewis D, Newbould V, Brosch S, Pierce C, Powell G, Ptaszyńska-Neophytou A, Wiśniewski A, Tregunno P, Norén G, Pirmohamed M. Recommendations for the Use of Social Media in Pharmacovigilance: Lessons from IMI WEB-RADR. Drug Safety 2019;42(12):1393 View
  5. Oprescu A, Miro-Amarante G, Garcia-Diaz L, Beltran L, Rey V, Romero-Ternero M. Artificial Intelligence in Pregnancy: A Scoping Review. IEEE Access 2020;8:181450 View
  6. Lui C, Wang Z, Wang N, Milinovich G, Ding H, Mengersen K, Bambrick H, Hu W. A call for better understanding of social media in surveillance and management of noncommunicable diseases. Health Research Policy and Systems 2021;19(1) View
  7. Oyebode O, Ndulue C, Adib A, Mulchandani D, Suruliraj B, Orji F, Chambers C, Meier S, Orji R. Health, Psychosocial, and Social Issues Emanating From the COVID-19 Pandemic Based on Social Media Comments: Text Mining and Thematic Analysis Approach. JMIR Medical Informatics 2021;9(4):e22734 View
  8. Hossain M, Daskalaki E, Brüstle A, Desborough J, Lueck C, Suominen H. The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review. BMC Medical Informatics and Decision Making 2022;22(1) View
  9. Sobel L, Lee Y, White K, Woodhams E, Patton E. Trusted contraception information sources for individuals with opioid use disorder. Health Services Research 2022;57(6):1390 View
  10. Kaas‐Hansen B, Placido D, Rodríguez C, Thorsen‐Meyer H, Gentile S, Nielsen A, Brunak S, Jürgens G, Andersen S. Language‐agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records. Basic & Clinical Pharmacology & Toxicology 2022;131(4):282 View
  11. Toussaint P, Renner M, Lins S, Thiebes S, Sunyaev A. Direct-to-Consumer Genetic Testing on Social Media: Topic Modeling and Sentiment Analysis of YouTube Users' Comments. JMIR Infodemiology 2022;2(2):e38749 View
  12. Judge-Clayden F, Iyer P, Williams A, Murray K, Dobson R. Multiple sclerosis, disease modifying therapies and pregnancy. British Journal of Neuroscience Nursing 2022;18(Sup3):S22 View
  13. Galvão D, Silva E, Silva D. Use of new technologies and promotion of breastfeeding: integrative literature review. Revista Paulista de Pediatria 2022;40 View
  14. Özkan İ, Polat Dünya C. Motherhood Experiences of Women With Multiple Sclerosis: A Thematic Meta-Synthesis. Clinical Nursing Research 2023;32(6):954 View
  15. Hradilek P, Zapletalova O, Hanulikova P, Havrdova E, Woznicova I, Mazouchova A, Drahota J, Lauer M, Stetkarova I, Valis M, Libertinova J, Stourac P, Adamkova J, Ampapa R, Vachova M, Dufek M, Martinková A, Peterka M, Recmanova E, Mares J, Horakova D. Is breastfeeding in MS harmful or not? An answer from real-world Czech data. Multiple Sclerosis and Related Disorders 2023;76:104790 View
  16. Cimiano P, Collins B, De Vuono M, Escudier T, Gottowik J, Hartung M, Leddin M, Neupane B, Rodriguez-Esteban R, Schmidt A, Starke-Knäusel C, Voorhaar M, Wieckowski K. Patient listening on social media for patient-focused drug development: a synthesis of considerations from patients, industry and regulators. Frontiers in Medicine 2024;11 View
  17. Nezhurina E, Milchakov K, Abramova A. Social Media as a Source of Information for the Detection of Adverse Drug Reactions in Post-Marketing Surveillance: A Review. Safety and Risk of Pharmacotherapy 2024 View
  18. MORANTE-HERRERA M, MARTÍNEZ-LINARES J, LÓPEZ-MEDINA I. Prenatal and Postnatal Opinions and Experiences of Women With Multiple Sclerosis: A Phenomenological Study. Journal of Nursing Research 2024;32(5):e353 View
  19. Ghezelhesari E, Heydari A, Ebrahimipour H, Nahayati M, Khadivzadeh T. Meta-synthesis of the motherhood-related needs of women with multiple sclerosis. BMC Women's Health 2024;24(1) View