Charting our way back to normal
A new web tool weighs the costs and benefits of different policy responses as Australia charts way to post-COVID-19 normal, say University of Melbourne experts
So, Victoria, what do we do now?
A University of Melbourne expert says it’s now mathematically impossible that Melbourne will reach its COVID-19 case target to release to Step 3 of the Roadmap.
Rating Victoria’s COVID-19 Roadmap
Victoria’s Roadmap out of the COVID-19 restrictions is good but there are grounds for tweaking it, says University of Melbourne expert Professor Tony Blakely
Locked and loaded: Using genomic sequencing to target COVID-19’s weak spots
A new open-access tool, COVID-3D, harnesses SARS-CoV-2 genomic information to ensure therapeutic efforts remain effective say University of Melbourne experts.
Modelling Victoria’s escape from COVID-19
Dynamic policy models can help Victoria think through how we get to ‘COVID-normal’. Here University of Melbourne experts explain their new modelling
The race in the elimination stakes
Australia’s states and territories are racing toward elimination of COVID-19, but some may not cross the finish line, says a University of Melbourne expert.
Where is the data on whether Australia aims to squash or flatten the curve?
Australians should understand the government's strategy for COVID-19; a University of Melbourne expert says this means open access to disease modelling data.
Modelling the spread of COVID-19
Forecasting the spread of COVID-19 including undetected cases is difficult but important; a University of Melbourne scientist has an app to track the outlook.
The maths and ethics of minimising COVID-19 deaths
A University of Melbourne experts says the government must factor in the maths and ethics of either flattening the curve or an eradication endgame for COVID-19.
What maths can tell us about the spread of the new coronavirus
University of Melbourne experts explain how mathematical modelling is helping to map the coronavirus outbreak – helping to predict the virus' global spread.