Mining and Validating Social Media Data for COVID-19-Related Human Behaviors Between January and July 2020: Infodemiology Study.

Ashlynn Rae Daughton Courtney D Shelley Martha Barnard Dax Gerts Chrysm Watson Ross Isabel Crooker Gopal Nadiga Nilesh Mukundan Nidia Yadira Vaquera Chavez Nidhi Parikh Travis Pitts Geoffrey Fairchild

Published in: Journal of medical Internet research (2021)

Behaviors discussed on Twitter are exceptionally varied. Twitter can provide useful information for parameterizing models that incorporate human behavior, as well as for informing public health communication strategies by describing awareness of and compliance with suggested behaviors.

Keyphrases

social media
health information
public health
endothelial cells
coronavirus disease
induced pluripotent stem cells
sars cov
pluripotent stem cells
electronic health record
respiratory syndrome coronavirus
artificial intelligence
global health