List by Author: Julia Gog

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!

The growth rate of a disease

What is the growth rate and what does it tell us about an epidemic?

What's the price for relaxing the rules?

We are all longing to go into a lower tier, but this can come at a high price later on.

The growth rate of COVID-19

We all now know about R, but sometimes it can be good to consider another number: the growth rate of an epidemic.

Sending flu packaging

How are researchers in disease dynamics using mathematics to understand how the influenza virus replicates? This short, accessible article investigates.

Influenza virus: it's all in the packaging!We have all become more aware of the dangers of influenza this year, but why is it so dangerous? Julia Gog explains that the unusual structure of the influenza genome can lead to dangerous evolutionary jumps, and how mathematics is helping to understand how the virus replicates.