Comparison: Perceived vs. True Spread of COVID-19
Here at Dyntell, we’re building a large time series database with the primary aim of benefitting society through access to data. In this post, we’ll study different time series representing both the true and the perceived spread of the coronavirus (COVID-19) pandemic. Daily COVID-19 numbers are currently available on TimeNet.cloud for many countries. We’re expanding these datasets with further variables measuring how we (people) perceive the significance of the pandemic. We use stock market movements and internet search trends to quantify the virus’s perceived spread. Data Science and its role in fighting COVID-19 The current crisis is a great challenge for humanity—there is no arguing this. Since no vaccine is available and the incubation period can last as long as two weeks, it’s difficult…