Do you know what's good for you?

Should international travel be banned in the face of swine flu? Should life-saving drugs be withheld because they're too expensive? Should the government ban alcohol? And are bacon sandwiches really that dangerous?

Plus is now answering these and many other questions with support from the Wellcome Trust, as part of our new project looking at the role of mathematics and statistics in the biomedical sciences. Apart from a rolling news desk responding to health issues as they hit the news, we bring you in-depth articles, podcasts, classroom activities, and the chance to debate the issues.

So, do you know what's good for you? To help you find out, we've brought together all the content of this project, grouped together in the following categories:

• The maths of infectious diseases: From SARS to swine flu, infectious diseases hardly ever disappear from the headlines. If it's not the disease itself that hits the news, then it's the vaccines with their potential side effects. This category contains news items, in-depth articles, podcasts, and class room activities on the maths of epidemiology.


• Evidence based medicine: Which treatments and drugs should be offered on the NHS, given the finite health care budget? How do you judge the risks of medical treatments, or even your own behaviour? The articles in this category explain what sort of evidence is used to answer these difficult questions.


• Genetics: One of the greatest advances in the biomedical sciences has been the unravelling of our genetic code. The articles in this category explore and explain the mathematical challenges posed by genes.


• Maths in medical research: Mathematics has become an indispensible tool in medical research, not only because it can crack many difficult problems, but also because it can be used to model complex organisms. These articles explore how.

Infectious diseases

Protecting the nation — Vaccination is an emotive business. The furore around the MMR vaccine and autism has shown that vaccination health scares can cause considerable damage: stop vaccinating, and epidemics are sure to follow. But how do scientists decide whether a vaccine and a vaccination strategy are effective and safe? (This article is accompanied by a podcast.)

Protecting the nation: the podcast — We talk to Paddy Farrington, Professor of Statistics at the Open University, about issues surrounding vaccination safety.

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.

The mathematics of diseases — Over the past one hundred years, mathematics has been used to understand and predict the spread of diseases, relating important public-health questions to basic infection parameters. Matthew Keeling describes some of the mathematical developments that have improved our understanding and predictive ability.

Swine flu uncertainty — When a new infectious disease has broken out, how do you get those vital first estimates on numbers of infected and dead? This article, a news item from July 2009, looks at monitoring systems.

Pan(dem)ic? — Swine flu has turned out to be much milder than was feared at first, leading to accusations of initial hype levelled at the government and scientists. But even at the start of the outbreak, scientists were accused at scare mongering. This article, a news item from May 2009, explains how predictions about the spread of the infection are made.

Don't blame it on the tube — Buses may be safer than babies, at least when it comes to swine flu. This news story from October 2009 examines the preliminary results from an online flu survey, which suggest that contact with children poses one of the greatest swine flu risk factors, while the use of public transport seems surprisingly safe.

Classroom activity: Build your own disease — This activity explores epidemiological models using basic probability theory. It also involves exponential growth and geometric progressions.

Evidence based medicine

Evaluating a medical treatment - how do you know it works? — New treatments and drugs are tested extensively before they come on the market. But how do you make sure that no dangerous side effects are missed in the trials, and that any positive effect you observe is really due to the drug, rather than just chance or some other type of bias that has crept in? (This article is accompanied by a podcast.)

Evaluating a medical treatment: The podcast — We talk to David Spiegelhalter (Winton Professor of the Public Understanding of Risk), Sheila Bird (Professor at the Medical Research Council Biostatistics Unit), and Nigel Hawkes (journalist and director of Straight Statistics) about why randomised controlled trials are used and how they test if a new treatment works.

Biostatistics, from cradle to grave: The podcast — It's not just medical drugs that need rigorous testing. Public health programmes, too, need to be assessed before they are implemented, and government health policy should also be based on objective evidence. We talk to Professor Sheila Bird of the Biostatistics Unit in Cambridge about her work in public health and its impact on policy, and discuss bias in pharmaceutical studies.

The economics of health —With a finite health care budget, health authorities have to strike a difficult balance: every decision to fund a treatment for one patient group may come at the expense of others. So how are these difficult decisions made?

How to measure life — A new drugs offers hope to cancer sufferers and may add years to their lives. However NICE, the National Institute for Health and Clinical Excellence, must decide if it can be prescribed freely on the NHS. This news story from June 2009 explains the mathematical considerations that go into NICE's decision, and why such a decision must be made.

Breast screening, a statistical controversy — One in nine women will get breast cancer in her lifetime, and it seems sensible to screen women for breast cancer to treat them as early as possible. But, as this article explains, the statistical evidence isn't all that clear-cut.

2845 ways of spinning risk — Do bacon sandwiches give you cancer? Statistical analysis can give you an idea of whether they or do not, but, as this article explains, public reaction to the results depends on how the risks are spun by the media.

Protecting the nation — Vaccination is an emotive business. The furore around the MMR vaccine and autism has shown that vaccination health scares can cause considerable damage: stop vaccinating, and epidemics are sure to follow. But how do scientists decide whether a vaccine and a vaccination strategy are effective and safe? (This article is accompanied by a podcast.)

Protecting the nation: the podcast — We talk to Paddy Farrington, Professor of Statistics at the Open University, about issues surrounding vaccination safety.

Classroom activity: What's the best medicine — This activity explores the difficult decisions facing health authorities when deciding which drugs should be funded, and explores how maths is used to decide which treatments provide the most "health for money". It involves basic arithmetic and manipulation of averages.

Career interview: medical statistician — Medical statistician Robert Hemmings explains how his work for the Medicines Control Agency helps to safeguard the health of the nation.

Reporting risk

It can be very difficult to understand health risks, particularly when they are badly reported (intentionally or not) in the media. These blog entries highlight the pitfalls of reporting risk statistics.

• We're doomed, say scientists (February 2009)
• The agony and ecstasy of risk statistics (February 2009)
• Shine a light on dodgy stats (January 2009)
• You aren't what your mother eats (January 2009)

Genetics

You're more than the sum of your genes — geneticists are usually concerned with picking apart the individual genes that make up a genome, but two biochemical engineers from the University of Wisconsin Madison have decided to re-assemble all the pieces and give them a good shake. This news story from February 2009 explains that it's not just the genes themselves, but also the way in which they are organised within the genome, that determine the characteristics of an organism.

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.

Medical research — maths to make you feel better

Creating a virtual cancer — Cancer is one of the major causes of death in the world (particularly the developed world), with around 11 million people diagnosed and around 7 million people dying each year. The World Health Organisation predicts that current trends show around 9 million will die in 2015, with the number rising to 11.5 million in 2030. This news story from October 2009 reports on the work of mathematician Mark Chaplain and an interdisciplinary team at the University of Dundee to develop a virtual model of cancer growth and spread.

Kelvin's bubble burst again — The Kelvin problem, posed by Lord Kelvin in 1887, is to find an arrangement of cells, or bubbles, of equal volume, so that the surface area of the walls between them is as small as possible — in other words, to find the most efficient soap bubble foam. A researcher from the University of Bath has tackled this old geometric problem with a new method, and this news story from September 2009 explains that this may lead to advances in creating hip replacements and replacement bone tissue for bone cancer patients.

Controlling cockroach chaos — Catching sight of a cockroach tends to make us behave chaotically, what with the running and screaming and throwing of shoes. But it appears that chaos might actually explain how we, and the cockroach itself, behave. An interdisciplinary team of scientists from Germany have created a robotic cockroach that autonomously behaves in a way reminiscent of a real cockraoch. Recreating lifelike behaviour is not new, but this robot reproduces a huge range of behaviours and quickly reacts to new situations and switches between them. And the secret to its success is controlled chaos in its robotic brain.

Uncoiling the spiral: Maths and hallucinations — Think drug-induced hallucinations, and the whirly, spirally, tunnel-vision-like patterns of psychedelic imagery immediately spring to mind. But it's not just hallucinogenic drugs that conjure up these geometric structures. People have reported seeing them in near-death experiences, following sensory deprivation, or even just after applying pressure to the eyeballs. So what can these patterns tell us about the structure of our brains?