Norman Swan

speaker
10,274 appearances 109 recordings 1 series first heard Mar 2020 last heard 11 Aug

Norman Swan’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
1 · Aug OctJan 26AprJulnow

Recordings per month over the last 12 months — 2 in all, peaking in Aug 2026 with 1.

Appearances

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But did that end up being the case? voice-verified
We'll wait and see. voice-verified
Very important that people with diabetes and other illnesses were immunised so that they could be checked out. voice-verified
If you had an immune disease or you were on cancer chemotherapy or something like that, I suspect you were probably excluded, but we'll wait to find out. voice-verified
I think that where they were light on would probably be pregnant women and children. voice-verified
Those will be the gaps in the immunization database. voice-verified
But let's just see when the regulators have a look at that fine detail, because that's, Josh, you're absolutely right. voice-verified
That's the thing to look for. voice-verified
If you've got a question or a comment, go to abc.net.au slash Coronacast. voice-verified
Click on Ask Your Question and mention Coronacast on the way through. voice-verified
And we will see you tomorrow. voice-verified
And I'm physician and journalist Dr Norman Swan.
It's Tuesday the 24th of November.
Well, during the first wave, it was said that there was so much coronavirus around that it swamped the effects of seasonality.
Although most people expected this to be a winter virus, a seasonal virus, but they couldn't guarantee it.
And you just weren't necessarily seeing the effects of it.
On this week's Health Report podcast, I've been talking to Chris Murray, Professor Chris Murray, who's at the Institute of Health Metrics and Evaluation in Seattle.
And they've been doing global modelling now on the COVID-19 pandemic, which has turned out to be pretty accurate.
So for the world, for different countries and for the United States.
And they say that when they look at the big data, they do find a seasonal effect and they believe it's actually quite strong.
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