A Google–Wikipedia–Twitter Model as a Leading Indicator of the Numbers of Coronavirus Deaths

But things change. Thus, there is a constant search for real-time and leading indicator variables that can provide insights into disease propagation models.

Researchers have found that information about social media and search engine use can provide insights into the diffusion of flu and other diseases. Consistent with this finding, we found that a model with the number of Google searches, Twitter tweets, and Wikipedia page views provides a leading indicator model of the number of people in the USA who will become infected and die from the coronavirus. Although we focus on the current coronavirus pandemic, other recent viruses have threatened pandemics (e.g. severe acute respiratory syndrome).