The recent outbreak of COVID-19 world wide is alarming. Using data published by the Johns Hopkins CSSE and NSpire calculator, we are able to perform some basic regression analysis with Nspire calculator to get a rough picture of the outbreak.

The graph below shows data of daily infections outside of China.

It is showing more of exponential growth than linear. The **r squared** value is contrasted between the exponential (0.91) and linear regression analysis (0.81) using the Statistics function built in to the Nspire.

For epidemiology analysis, there are well established mathematics models when fed with accurate data, better descriptions and even reliable predictions are possible. One of the index from these models is the Basic Reproduction Number, known as R0 value, which indicates how many more infections from an infected individual can infect other uninfected individual. By far the estimation for COVID-19 is from 1.4 to 6.6.