In this final part, you can meet the researchers themselves and find out about the real research questions that Julia and some of her colleagues are working on!
Find out the basics of the SIR model, the basis most disease modellers use to understand the spread of a disease through a population.
The reproduction ratio, R, is one of the most important numbers in epidemiology. Find out what it means in this very easy introduction.
At the beginning of an epidemic the number of infected people grows exponentially. But why does the number e appear in descriptions of this growth?
To work out how a disease will spread you need to know the time between infections.
How can we use mathematics to model the spread of a disease?
The doubling time of a disease is the time it takes for the number of cases of the disease to double. How do you calculate it?
What is the growth rate and what does it tell us about an epidemic?
This collection of articles looks at some basic concepts in epidemiology and how mathematics plays a central role in understanding how infectious diseases spread.
What is herd immunity and what does it have to do with a number called R?
The BloodCounts! project is gearing up towards one of the largest-scale applications yet of machine learning in medicine and healthcare.
A mathematical, and personal, look into how we all had to balance the different harms of the virus and the steps we took against it.
