In the Media

Professor Mills shared her views on concerns about a link between the risk of rare blood clots and the Oxford Astrazenca COVID-19 vaccine. 'People get in a car and think it’s low risk as they’re in control. And they think GM, food preservatives and vaccines, which they are unrelated to, as high risk. Actually it's the reverse,' she says. Watch the interview at 6m 45s.

Our Director Professor Melinda Mills, author of the Royal Society report on vaccine passports goes Head to Head with Stephen Reicher. Covid passports could be workable, but they’ll need to meet certain criteria, says Professor Mills.

Research conducted by Dr Per Block showing that moods are contagious, is reported in this article. It's hoped the findings will lead to improved understanding of mental health in teenagers.

What we know about when the U.S. may reach herd immunity with COVID? Estimates vary, and some think it's impossible to predict when the country will meet the immunity threshold. Professor Jennifer Beam Dowd is interviewed in this article. It's impossible to predict when herd immunity will be reached, she says. But if kids are vaccinated in the fall, the difference will be felt by New Year 2022.

Professor Melinda Mills discusses the ethics of vaccine passports with presenter Iain Dale and Dawn, a pub landlady from Norwich. Listen at 0.22

Professor Melinda Mills talking about the Govt's possible plan to make presenting a vaccine passport a requirement to enter pubs. Listen at 1.09.

Professor Mills is interviewed: “What happens if I’m sitting in another country and my vaccine is paused?” says Melinda Mills, who recently co-led a report on vaccine passports for the Royal Society. “What is a valid vaccine? It’s a moving target.”

This editorial by Professor Melinda Mills is on her recent  Lancet Public Health study on the effect of mandatory COVID-19 certificates.

In her paper Lasso Regularization for Selection of Log-linear Models: An Application to Educational Assortative Mating, Dr Daniela Urbina show that in situations where conventional fit statistics provide conflicting diagnostics, our Lasso-based approach is consistent in its model choice, yielding solutions that are both predictive and parsimonious.