12 citations · 13 across the 3 of their papers we have counts for
4 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…
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…
Design choices for productive, secure, data-intensive research at scale in the cloud
Diego Arenas, Jon Atkins, Claire Austin +22
We present a policy and process framework for secure environments for productive data science research projects at scale, by combining prevailing data security threat and risk prof…