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The Doherty plan underscores why COVID-19 is a ‘reality that won’t go away’
We re going to have to live with masks, social distancing, limited venue capacity and snap lockdowns for a while.
Aug 04, 2021
The Doherty Institute has released its modelling showing Australia s vaccination targets for the path out of the pandemic which has driven the national cabinet’s four-phase plan for reopening the country. But it focuses on the first two phases of Australia’s reopening plan, only modelling six months of scenarios.
“The reason we stopped where we did was we said six months is a long time in this pandemic,” Director of Epidemiology at the Doherty Institute Professor Jodie McVernon said in a press conference yesterday. “COVID-19 is a reality that won’t go away.”
Date Time
We need to start vaccinating people in their 20s and 30s, according to Doherty modelling
Last week the federal government announced 70% of over-16s would need to be vaccinated for COVID-19 restrictions to be eased.
Author Chair in Epidemiology, Deakin University
And this week, Melbourne’s Doherty Institute published the modelling informing this. The Doherty Institute had been asked by national cabinet to model the effects of increasing vaccination rates on Australia’s pathway out of the COVID pandemic.
The collaboration created an impressive assembly of models that allows them to assess the impacts of outbreaks under a range of infection-control scenarios. The model can be adapted to explore easing of specific restrictions, or changed conditions, for example if the dominant variant changes, or our response is more or less effective than anticipated.
Last week the federal government announced 70% of over-16s would need to be vaccinated for COVID-19 restrictions to be eased.
And this week, Melbourne’s Doherty Institute published the modelling informing this. The Doherty Institute had been asked by national cabinet to model the effects of increasing vaccination rates on Australia’s pathway out of the COVID pandemic.
The collaboration created an impressive assembly of models that allows them to assess the impacts of outbreaks under a range of infection-control scenarios. The model can be adapted to explore easing of specific restrictions, or changed conditions, for example if the dominant variant changes, or our response is more or less effective than anticipated.
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