visualising risk.
It is hoped that the winning projects can be developed into tools to help both policymakers and the wider public better understand the impact of COVID-19 and mitigate its threat.
It is hoped that the success of the digital sprint will pave the way for more rapid response research funding calls in the future.
Winning projects
Air quality
A digital model was produced that analysed the impact of air quality and social factors, both in Italy and the US, on COVID-19 infection rates.
Their model demonstrated that if the Air Quality Index could be reduced by 2%, in the long-term, then infection rates would decrease by between 4-5%.