Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via De...
Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning
About this item
Full title
Author / Creator
Publisher
Canada: Gunther Eysenbach MD MPH, Associate Professor
Journal title
Language
English
Formats
Publication information
Publisher
Canada: Gunther Eysenbach MD MPH, Associate Professor
Subjects
More information
Scope and Contents
Contents
There is a limited amount of data on the safety profile of the COVID-19 vector vaccine Gam-COVID-Vac (Sputnik V). Previous infodemiology studies showed that social media discourse could be analyzed to assess the most concerning adverse events (AE) caused by drugs.
We aimed to investigate mild AEs of Sputnik V based on a participatory trial condu...
Alternative Titles
Full title
Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c2d81755951f4b1dadcc123aeb24d46d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c2d81755951f4b1dadcc123aeb24d46d
Other Identifiers
ISSN
1438-8871,1439-4456
E-ISSN
1438-8871
DOI
10.2196/30529
