COVID-19 Outbreak: Modelling the Pandemic
The University's data analysts, scientists and economists are collating, analysing and displaying Covid-19 modelling data to help government and industry predict the course and impact of the virus.
Ulster University's data scientists and economists have been collating, analysing and displaying Covid-19 modelling data to help government and industry predict the course of the virus to develop models that will better predict patient admissions, ICU bed demand and expected mortality rate.
In partnership with the Southern HSC trust based at Craigavon Area Hospital our experts are interpreting data on transmission rates, incubation times and as peak infectiousness continues to emerge these models will become even more refined, allowing for more strategic health planning and resourcing, which will ultimately lead to more efficient and effective care for patients.
Related experts
Dr Raymond Bond
Reader in Data Analytics
School of Computing
Areas of expertise Digital health, biomedical and healthcare informatics, human-computer interaction, data modelling.
Professor Maurice Mulvenna
Professor of Computer Science
School of Computing
Areas of expertise Computing and mental health, artificial intelligence, digital wellbeing, innovation and assistive technologies, human-computer interaction, data mining.
Professor James McLaughlin
Head of School of Engineering
School of Engineering
Areas of expertise Nanotechnology, point of care diagnostics, integrated algorithm based solutions, sensor & IOT technology, Digital Healthcare Technology, Innovation.
Professor Dewar Finlay
Research Director- Electrical and Electronic Engineering, Metallurgy and Materials
School of Engineering
