From the course: Python Data Analysis
Join today to access over 24,500 courses taught by industry experts.
Modeling COVID-19 data - Python Tutorial
From the course: Python Data Analysis
Modeling COVID-19 data
- [Instructor] In this video, we will try to explain the number of total deaths from Covid using an ordinary linear regression on a variety of explanatory variables. Here's our dataset again. As we already discussed in this chapter, it would be more representative to look at the number of excess deaths, since differences in the reporting of total deaths may distort the picture. However, the total excess value is only available for a smaller number of countries, too few to fit the model accurately. We will augment the dataset by adding the normalized number of deaths, and look at all values at the end of the dataset in 2024. The final recorded incidence was about 1,000 per million. With a standard deviation of approximately another 1,000. This is the variation that we are looking to explain. We can also look at it in a histogram, where we'll try a number of different explanatory variables. Most of these are self-explanatory, in fact, but let me tell you that extreme poverty is the…
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.