[7][8] Infoveillance can detect disease outbreaks faster than traditional public health surveillance systems with minimal costs involved.
Active infoveillance occurs when users choose to respond to a survey, enter symptoms into a website or app, or otherwise participate directly in surveillance efforts by contributing additional information.
[14] Google has continued this work to track and predict the COVID-19 pandemic, creating an open dataset on COVID-related search queries for use by researchers.
It performed mood analysis on tweets geo-located in various regions of the United Kingdom by computing on a daily basis scores for four types of emotion: anger, fear, joy and sadness.
[17] Privacy concerns are increased if data analysis is not done automatically and if search trajectories of individual users are examined.