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

Journal: Journal of medical Internet research

Published Date: Nov 29, 2021

Abstract

BACKGROUND: 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.

Authors

Andrzej Jarynowski

System Modeling Group, Institute for Veterinary Epidemiology and Biostatistics, Freie Universität Berlin, Berlin, Germany.
Alexander Semenov

Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL, United States.
Mikołaj Kamiński
Vitaly Belik

System Modeling Group, Institute for Veterinary Epidemiology and Biostatistics, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.

Keywords

Aged COVID-19 COVID-19 Vaccines Deep Learning Female Humans Male Russia SARS-CoV-2 Social Media Vaccines

External Resources

View on PubMed Access via DOI PubMed (34662291)

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

Abstract

Authors

Keywords

External Resources

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