July 13, 2016
by Artem Kaznatcheev

This week, I am at the University of Nottingham for the joint meeting of the Society of Mathematical Biology and the European Conference on Mathematical and Theoretical Biology — ECMTB/SMB 2016. It is a huge meeting, with over 800 delegates in attendance, 308 half-hour mini-symposium talks, 264 twenty-minute contributed talks, 190 posters, 7 prize talks, 7 plenary talks, and 1 public lecture. With seventeen to eighteen sessions running in parallel, it is impossible to see more than a tiny fraction of the content. And impossible for me to give you a comprehensive account of the event. However, I did want to share some moments from this week. If you are at ECMTB and want to share some of your highlights for TheEGG then let me know, and we can have you guest post.

I did not come to Nottingham alone. Above is a photo of current/recent Moffitteers that made their way to the meeting this year.

On the train ride to Nottingham, I needed to hear some success stories of mathematical biology. One of the ones that Dan Nichol volunteered was the SIR-model for controlling the spread of infectious disease. This is a simple system of ODEs with three compartments corresponding to the infection status of individuals in the population: susceptible (*S*), infectious (*I*), recovered (*R*). It is given by the following equations

where and are usually taken to be constants dependent on the pathogen, and the total number of individuals is an invariant of the dynamics.

As the replicator dynamics are to evolutionary game theory, the SIR-model is to epidemiology. And it was where Julia Gog opened the conference with her plenary on the challenges of modeling infectious disease. In this post, I will briefly touch on her extensions of the SIR-model and how she used it to look at the 2009 swine flu outbreak in the US.

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## Don’t take Pokemon Go for dead: a model of product growth

October 2, 2016 by Abel Molina Leave a comment

In the last month, some people wrote about the decay in active users for Pokemon Go after its first month, in a tone that presents the game as likely a mere fad – with article on 538, cinemablend and Bloomberg, for example. “Have you deleted Pokémon Go yet?” was even trending on Twitter. Although it is of course certainly possible that this ends up being an accurate description for the game, I posit that such conclusions are rushed. To do so, I examine some systemic reasons that would make the Pokemon Go numbers for August be inevitably lower than those for July, without necessarily implying that the game is doomed to dwindle into irrelevance.

Students in Waterloo playing Pokemon Go. Photo courtesy of Maylin Cui.

Others have made similar points before – see this article and the end of this one for example. However, in the spirit of TheEGG, and unlike what most of the press articles can afford to do, we’ll bring some mathematical modeling into our arguments.

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Filed under Commentary, Models, Preliminary Tagged with current events