TY - JOUR
AU - Hussain, Zain
AU - Sheikh, Zakariya
AU - Tahir, Ahsen
AU - Dashtipour, Kia
AU - Gogate, Mandar
AU - Sheikh, Aziz
AU - Hussain, Amir
PY - 2022
DA - May
TI - Artificial intelligence-enabled social media analysis for pharmacovigilance of COVID-19 vaccinations in the United Kingdom:Observational Study
JO - JMIR Public Health and Surveillance
VL - 8
IS - 5
DO - https://doi.org/10.2196/32543
AB - BACKGROUND: The rollout of vaccines for COVID-19 in the United Kingdom started in December 2020. Uptake has been high, and there has been a subsequent reduction in infections, hospitalizations, and deaths among vaccinated individuals. However, vaccine hesitancy remains a concern, in particular relating to adverse effects following immunization (AEFIs). Social media analysis has the potential to inform policy makers about AEFIs being discussed by the public as well as public attitudes toward the national immunization campaign.
PB - JMIR Publications
UR - https://www.research.ed.ac.uk/en/publications/c091fa5b-c134-4ad6-bc83-78b11d431070
KW - Coronavirus (COVID-19)
ER