Radio and PodcastRadio and PodcastLive Radio & Podcasts
Episode 7: Modelling COVID-19 – Can we predict the future? artwork
Science & Medicine

Episode 7: Modelling COVID-19 – Can we predict the future?

How Science Matters by Burnet Institute

Sep 6, 202135:12Science & Medicine

Episode 7: Modelling COVID-19: Can we predict the future? In an island-continent like Australia, with a population of almost 26 million, how is the coronavirus likely to spread? And how can transmission be halted? In thi...

About This Episode

Episode 7: Modelling COVID-19 – Can we predict the future? is an episode from How Science Matters by Burnet Institute. Episode 7: Modelling COVID-19: Can we predict the future? In an island-continent like Australia, with a population of alm...

Podcast

This episode belongs to How Science Matters.

Listen Online

Use the player on this page to stream the episode online.

Episode Details

Published Sep 6, 2021, 35:12 long, audio available.

Questions About This Episode

What is Episode 7: Modelling COVID-19 – Can we predict the future? about?

Episode 7: Modelling COVID-19: Can we predict the future? In an island-continent like Australia, with a population of almost 26 million, how is the coronavirus likely to spread? And how can transmission be halted? In this episode, you'll meet Burnet Institute's Deputy Director, Professor Margaret Hellard and Dr Nick Scott, the Head of Modelling. They are part of the team behind the Victorian adaptation of the COVASIM Epidemic model, which was first developed by the Institute for Disease Modelling in the USA. Hear how modelling helps prepare our health system and governments for the likelihood of the virus spreading in the future and the risks around that. It's what informs intervention strategies like international air travel, lockdowns, social distancing, density limits on cafés and restaurants, and homeschooling. Get the transcript here . Credits: Hosted by journalist Tracy Parish and Professor Brendan Crabb, a microbiologist, malaria researcher, and one of the best minds in infectious diseases and global health today. Produced by Written & Recorded Executive Producers: Serpil Senelmis & James Brandis Sound Design/Engineering: James Brandis Production Assistance: Nick Dalziel, Burnet Institute How Science Matters was recorded on the traditional land of the Bunurong people of the Kulin Nations and we offer our respects to Elders past and present. We recognise and respect the cultural heritage of this land. Disclaimer: This podcast series was recorded between June and July 2021. For current information on the pandemic, please search for the latest official coronavirus advice in your area.

Where can I listen to Episode 7: Modelling COVID-19 – Can we predict the future??

You can listen to Episode 7: Modelling COVID-19 – Can we predict the future? online on Radio and Podcast. Open the player on this page to stream the available audio.

Which podcast is Episode 7: Modelling COVID-19 – Can we predict the future? from?

Episode 7: Modelling COVID-19 – Can we predict the future? is an episode from How Science Matters by Burnet Institute.

How long is this episode?

This episode is 35:12 long.

When was this episode published?

This episode was published on Sep 6, 2021.

Can I save Episode 7: Modelling COVID-19 – Can we predict the future? for later?

Yes. Use the heart button on the episode page to add it to your favorite episodes list.

Are there related episodes from How Science Matters?

Yes. This page shows related episodes from How Science Matters when more episodes are available from the podcast feed.

Quick Answers About This Episode

Where can I listen to Episode 7: Modelling COVID-19 – Can we predict the future??

You can listen to Episode 7: Modelling COVID-19 – Can we predict the future? on this page when the episode audio is available from the podcast feed.

Which podcast is this episode from?

Episode 7: Modelling COVID-19 – Can we predict the future? is from How Science Matters by Burnet Institute.

What are the episode details?

Published Sep 6, 2021 and 35:12 long