
Content about “ epidemiology
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Contagious maths
How does maths help in tackling infectious diseases? Join Julia Gog to find out in this series of videos and articles, and have a go at modelling diseases yourself!






Contagious maths, part 1: Build your own model
With just some simple arithmetic, you can build a basic mathematical model of how a disease might spread. Julia Gog explains how, and there's also some Lego action...

Contagious Maths, part 2: Play Lucky Dip!
You can explore how we might extend our model but running your own epidemic with our Lucky Dip interactivity. Follow along with Julia as she paves the way to a model that is very similar to the mathematics disease modellers use every day.

Contagious maths, Part 3: Everybody is different
In Part 3 Julia refines our model to use one of the most important numbers in disease modelling. And there's a chance for you to explore its meaning using a new interactivity.

Contagious maths, Part 4: Get moving!
In the final Part we explore what other aspects we need to consider to make a model more realistic. There's an interactivity that allows you to party, commute, and visit friends and we find out more about what life as a research is like from Julia.

Contagious maths, Part 5: Meet the researchers!
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!

Maths in a minute: The SIR model

Maths in a minute: R – the reproduction ratio
The reproduction ratio, R, is one of the most important numbers in epidemiology. Find out what it means in this very easy introduction.

e for exponential
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?

What is the generation time of a disease?
