24 citations · 55 across the 9 of their papers we have counts for
9 papers
Interoperability of statistical models in pandemic preparedness: principles and reality
George Nicholson, Marta Blangiardo, Mark Briers +12
We present "interoperability" as a guiding framework for statistical modelling to assist policy makers asking multiple questions using diverse datasets in the face of an evolving p…
CCC/Code 8.7: Applying AI in the Fight Against Modern Slavery
Nadya Bliss, Mark Briers, Alice Eckstein +4
On any given day, tens of millions of people find themselves trapped in instances of modern slavery. The terms "human trafficking," "trafficking in persons," and "modern slavery" a…
Prospective Artificial Intelligence Approaches for Active Cyber Defence
Neil Dhir, Henrique Hoeltgebaum, Niall Adams +3
Cybercriminals are rapidly developing new malicious tools that leverage artificial intelligence (AI) to enable new classes of adaptive and stealthy attacks. New defensive methods n…
Bayesian imputation of COVID-19 positive test counts for nowcasting under reporting lag
Radka Jersakova, James Lomax, James Hetherington +4
Obtaining up to date information on the number of UK COVID-19 regional infections is hampered by the reporting lag in positive test results for people with COVID-19 symptoms. In th…
Inferring proximity from Bluetooth Low Energy RSSI with Unscented Kalman Smoothers
Tom Lovett, Mark Briers, Marcos Charalambides +3
The Covid-19 pandemic has resulted in a variety of approaches for managing infection outbreaks in international populations. One example is mobile phone applications, which attempt…
Risk scoring calculation for the current NHSx contact tracing app
Mark Briers, Marcos Charalambides, Chris Holmes
We consider how the NHS COVID-19 application will initially calculate a risk score for an individual based on their recent contact with people who report that they have coronavirus…