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Showing posts with the label peak indicators

Press: Why you should never use Microsoft Excel to count coronavirus cases

Why you should never use Microsoft Excel to count coronavirus cases Professor Paul Clough Public Health England has admitted that 16,000 confirmed coronavirus cases in the UK were missed from daily figures being reported between September 25 and October 2. The missing figures were subsequently added to the daily totals, but given the importance of these numbers for monitoring the outbreak and making key decisions, the results of the error are far-reaching. Not only does it lead to underestimating the scale of coronavirus in the UK, but perhaps more important is the subsequent delay in entering the details of positive cases into the NHS Test and Trace system which is used by a team of contact tracers. Although all those who tested positive had been informed of their results, other people in close contact with them and potentially at risk of exposure were not immediately followed up (ideally within 48 hours). This was a serious error. What could have caused it? It emerged later that that...

Sheffield MSc Data Science – Industry Event

Tuesday 4th December 2018 was the date of our annual ‘industry day’ event organised for students on the MSc Data Science programme. The event invites speakers from various sectors in industry to share their experiences with utilising machine learning, AI and data science for applications within their domain. This year speakers from 6 organisations presented at the event: · Billy Blythe, Head of Data Science, Department of Work and Pensions (DWP) · Leanne Fitzpatrick, Head of Data, Hello Soda · Lauren Rodgers, Data Scientist, and Tom Liptrot, Head of Data Science, Peak.ai · Lisa Clark, Data Scientist, Virgin Media Business (VMB) · Ben Chamberlain, Head of Machine Learning, AOS.com · Hayden Sansum, Senior Data Scientist, Ministry of Justice (MoJ) Speakers discussed various topics such as the challenges, benefits and technologies involved in utilising data-driven analytical methods; current technological trends; and what role data scie...