How To Tell If We're Beating COVID-19

The video discusses the challenges of understanding exponential growth in epidemics, particularly COVID-19. It highlights the difficulty in predicting when exponential growth will end and introduces a new graph that visualizes the global spread of COVID-19. The graph uses logarithmic scales and plots new cases against total cases to show deviations from exponential growth. The video also explains the graph's construction, interpretation, and limitations, emphasizing the importance of understanding trends rather than just current data points.

What is the significance of plotting new cases versus total cases in understanding exponential growth?

What are the limitations of the graph mentioned by the author?

How does the author suggest we should interpret trends in COVID-19 case numbers?