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

Infodemiology and Infoveillance (1349) JMIR Theme Issue: COVID-19 Special Issue (2450) Infectious Diseases (non-STD/STI) (1567) Vaccination and Immunization in the Digital Age (374) Natural Language Processing (688) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1040) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Infoveillance and Social Listening (208) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1639) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (155) Innovative Methods in Public Health and Surveillance (329) COVID-19 Vaccination (146)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30529, first published .
Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning

Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning

Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning

Authors of this article:

Andrzej Jarynowski1, 2 Author Orcid Image ;   Alexander Semenov3, 4 Author Orcid Image ;   Mikołaj Kamiński5 Author Orcid Image ;   Vitaly Belik1 Author Orcid Image
Article Authors Cited by (24) Tweetations (9) Metrics

Journals

  1. Mohapatra R, Kuppili S, Kumar Suvvari T, Kandi V, Behera A, Verma S, Kudrat‐E‐Zahan , Biswal S, Al‐Noor T, El‐ajaily M, Sarangi A, Dhama K. SARS‐CoV‐2 and its variants of concern including Omicron: A never ending pandemic. Chemical Biology & Drug Design 2022;99(5):769 View
  2. Sharma E, Revinipati S, Bhandari S, Thakur S, Goyal S, Ghose A, Bajpai S, Muhammad W, Boussios S. Efficacy and Safety of COVID-19 Vaccines—An Update. Diseases 2022;10(4):112 View
  3. Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View
  4. Gabashvili I. The Incidence and Effect of Adverse Events Due to COVID-19 Vaccines on Breakthrough Infections: Decentralized Observational Study With Underrepresented Groups. JMIR Formative Research 2022;6(11):e41914 View
  5. Shishido A, Barnes A, Narayanan S, Chua J. COVID-19 Vaccines—All You Want to Know. Seminars in Respiratory and Critical Care Medicine 2023;44(01):143 View
  6. Hens D, Wyers L, Claeys K. Validation of an Artificial Intelligence driven framework to automatically detect red flag symptoms in screening for rare diseases in electronic health records: hereditary transthyretin amyloidosis polyneuropathy as a key example. Journal of the Peripheral Nervous System 2023;28(1):79 View
  7. Chary M, Barbuto A, Izadmehr S, Tarsillo M, Fleischer E, Burns M. COVID-19 Therapeutics: Use, Mechanism of Action, and Toxicity (Vaccines, Monoclonal Antibodies, and Immunotherapeutics). Journal of Medical Toxicology 2023;19(2):205 View
  8. Romero-Ibarguengoitia M, González-Cantú A, Pozzi C, Levi R, Mollura M, Sarti R, Sanz-Sánchez M, Rivera-Salinas D, Hernández-Ruíz Y, Armendariz-Vázquez A, Del Rio-Parra G, Barco-Flores I, González-Facio R, Azzolini E, Barbieri R, de Azevedo Dias A, Henriques Guimarães Júnior M, Bastos-Borges A, Acciardi C, Paez-Bo G, Teixeira M, Rescigno M. Analysis of immunization time, amplitude, and adverse events of seven different vaccines against SARS-CoV-2 across four different countries. Frontiers in Immunology 2022;13 View
  9. Qorib M, Oladunni T, Denis M, Ososanya E, Cotae P. COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets. International Journal of Environmental Research and Public Health 2023;20(10):5803 View
  10. Medvedeva E, Zykov K, Ploskireva A, Maryin G, Svitich O, Yurenev G, Kuzin A, Zobov A, Nazarov D, Volynkov I, Kubyshkin A, Chebotareva T, Romanova K. Manifestations of excessive and systemic reactogenicity of vaccine, requirements for vaccination against new coronavirus infection. Medical alphabet 2023;(11):35 View
  11. Chen D, Zhang R. COVID-19 Vaccine Adverse Event Detection Based on Multi-Label Classification With Various Label Selection Strategies. IEEE Journal of Biomedical and Health Informatics 2023;27(9):4192 View
  12. Safarnezhad Tameshkel F, Abedin Dargoush S, Goudarzi M, Tabibzadeh A, Ghiaseddin A, Ranjbar M, Alimohamadi Y, Zamani F, Vaez A, Rahimian N, Jamshidi Makiani M, Divsalar F, Gholizadeh E, Karbalaie Niya M. A Retrospective Study on the Gam-COVID-Vac (Sputnik V) COVID-19 Vaccine Short-Term Efficacy and Side Effects in Iranian Healthcare Providers. Archives of Clinical Infectious Diseases 2023;18(3) View
  13. Medvedeva E, Zykov K, Ploskireva A, Maryin G, Svitich O, Kaira A, Nazarov D, Volynkov I, Romanova K. Some aspects of the safety of Russian vaccines against COVID-19 in employees of medical organizations. Sanitarnyj vrač (Sanitary Doctor) 2023;(5):284 View
  14. Ameer B, Akshaya K, Bhargava M, Jamal J. Adverse Events among Beneficiaries who Received a Dose of Sputnik V Vaccine at a Tertiary Care Hospital in Coastal Karnataka, India. Indian Journal of Community Medicine 2023;48(3):418 View
  15. Nali M, Purushothaman V, Li Z, Larsen M, Cuomo R, Yang J, Mackey T. Identification and Characterization of Illegal Sales of Cannabis and Nicotine Delivery Products on Telegram Messaging Platform. Nicotine and Tobacco Research 2024;26(6):771 View
  16. Zhukova E, Mirskaya M, Gotvyanskaya T, Cairo A, Semenenko A, Nozdracheva A, Sipacheva N, Nikolaeva O. On the issue of the safety of domestic vaccines against new coronavirus infection in medical workers. Sanitarnyj vrač (Sanitary Doctor) 2024;(2):92 View
  17. Ngamwal S, Yogita , Pal V. Sequence Labelling with 2 Level Segregation (SL2LS): A framework to extract COVID-19 vaccine adverse drug reactions from Twitter data. Expert Systems with Applications 2024;249:123572 View
  18. Alhumayani M, Alhazmi H. Detecting Reported Side Effects of COVID-19 Vaccines From Arabic Twitter (X) Data. IEEE Access 2024;12:55367 View
  19. Golder S, O'Connor K, Wang Y, Klein A, Gonzalez Hernandez G. The Value of Social Media Analysis for Adverse Events Detection and Pharmacovigilance: Scoping Review. JMIR Public Health and Surveillance 2024;10:e59167 View
  20. Sinruwng N, Yogita , Pal V, Verma A. DARCVAA: A Deep Neural Networks Based Framework for Detecting Adverse Reactions of COVID-19 Vaccines and Association Analysis. SN Computer Science 2024;5(5) View
  21. Yun S, Jeong J, Kim J. COVID-19 Vaccine Side Effect Analysis by Leveraging Social Media: Focusing on Connectivity and Cluster Characteristics of Vaccine Side Effects. IEEE Transactions on Computational Social Systems 2024;11(5):6487 View

Books/Policy Documents

  1. Jarynowski A, Semenov A, Wójta-Kempa M, Belik V. Computational Data and Social Networks. View
  2. Zacharia S, Kodipalli A. Emerging Research in Computing, Information, Communication and Applications. View