@article{Hussain_Z-2022_89573,
title = {Artificial intelligence-enabled social media analysis for pharmacovigilance of COVID-19 vaccinations in the United Kingdom:Observational Study},
author = {Hussain, Z. and Sheikh, Z. and Tahir, A. and Dashtipour, K. and Gogate, M. and Sheikh, A. and Hussain, A.},
month = {may},
year = {2022},
abstract = {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.},
volume = {8},
issue = {5},
journal = {JMIR Public Health and Surveillance},
publisher = {JMIR Publications},
url = {https://doi.org/10.2196/32543},
}
