Faculty of Engineering

Anonymous cell phone data can quantify behavioral changes for flu-like illnesses, study finds

Being prepared for a pandemic, like COVID-19, depends on the ability to predict the course of the pandemic and the human behaviour that drives spread in the event of an outbreak. Cell phone metadata that is routinely collected by telecommunications providers can reveal changes of behavior in people who are diagnosed with a flu-like illness, while also protecting their anonymity, a new study has found. The research, led by Emory University and devised by the University of Bristol, is based on data drawn from a 2009 outbreak of H1N1 influenza in Iceland and published in Proceedings of the National Academy of Sciences (PNAS).

Scientific evidence that informed UK Government’s response to COVID-19

Scientific evidence that was used to inform the UK government’s key policies impacting millions of people during the first wave of COVID-19 including the rule of six and the first national stay-at-home order is published today [31 May] in the journal of the Royal Society. The Special Theme issue is compiled and guest edited by SPI-M scientists including infectious disease modellers Drs Ellen Brooks Pollock and Leon Danon at the University of Bristol.