In developing our daily-predictive AI for Covid-19 infections , we’ve come across some, ah, interesting quirks in the official UK data: previously, we’d been using the government’s daily download data set for England, hoovering it into udu and thence driving the internal and R-based analytic and learning models. We’ve done the same for Scotland, Wales and Northern Ireland, from their respective data gateways, and merged the outcome to create a consistent baseline for analysis. Overall then, a bit clumsy, but perfectly workable. Continue reading Damned (Official) Statistics…
Covid-19
With the coming of the Covid-19 pandemic, we looked for a flexible and extensible platform for the integration, exploration and prediction of the pandemic against arbitrary data sources. So we’ve pivoted our environmental analytic work to Covid-19. This is about what we’ve discovered along the way.
Two Worlds wins research funding for Covid-19 Intelligent Analytics
Two Worlds is one of the successful applicants to a £40M fund created to support “Business-led innovation in response to global disruption”, a competition that attracted 8,600 applicants. Working with a team including epidemiologists, mathematical modelling specialists and the Department of Computer Science at Imperial College, Two Worlds is using udu’s intelligent analytic software to tackle this problem. Continue reading Two Worlds wins research funding for Covid-19 Intelligent Analytics
Covid-19: Box Ticking versus Delivery
Many of us will be going through the same thing right now: my partner and I live a way away from elderly parents – in our case our respective mothers – who both most definitely fall into the ‘most vulnerable’ category for Covid-19. Both are given support by regular visits from professional carers. So, quite naturally, we asked the care provider to send us over their procedures for minimising the chances of transmission of the virus to and between their staff and charges. Continue reading Covid-19: Box Ticking versus Delivery