Plus.Maths.org
epidemiology
Mathematical models predict how fast a rumour will spread and how many people it's likely to reach.
A project involving secondary school students has delivered valuable data for epidemiologists.
A crowdsourced computing project looks for molecules that can disable the Ebola virus.
New analysis of the 2009 swine flu pandemic in the US shows that the pandemic wave was surprisingly slow, and that its spread was probably accelerated by school-age children.
How are researchers in disease dynamics using mathematics to understand how the influenza virus replicates? This short, accessible article investigates.
A new study suggests that Facebook is heading for a very rapid decline.
Deciding who is to blame and who should pay for the financial crisis will be a hot topic at the G8 next week. Financial mathematics received a lot of bad press in the aftermath of the crunch and many believe that it was the popularity of mathematical models – often borrowed from physics — that put the financial system at risk. But now models borrowed from biology are helping us understand how this risk might be reduced.
Modelling the spread of disease is a difficult business. Epidemiologists use incredibly complex models involving huge amounts of transport, social contact and disease data to predict the spread of diseases. But is there a way to hide all this complexity and draw a simpler picture of how diseases spread, even in today's complex world?