Infoveillance can be
defined as “the application of infodemiology with the aim of surveillance”. In
other words, it refers to surveilling and analyzing the information found over
the internet in an unstructured manner to inform public health and policies (Junhan & Wang,
Social media can be used to predict future illness
onset for users by analyzing the language and keywords used on social media.
Moreover, analyzing emojis and special characters used in social media posts
can help predict certain mental health illnesses, asthma, or difficulty
breathing syndrome (Edo-Osagie et al.,
2019; Thorstad & Wolff, 2019).
Infoveillance also has the potential to
predict different infectious disease outbreaks, such as in the COVID-19 where
data shows that social media has the potential to accurately predicts the
disease outbreak case count and to use geographical data from social media to
inform medical research and practice (Junhan & Wang,