Episode 43 - Gianfranco Spiteri - Artificial (Epidemic) Intelligence

ECDC: On Air

European Centre for Disease Prevention and Control

Science

5 • 3 Ratings

🗓️ 15 November 2023

⏱️ 20 minutes

🔗️ Recording | iTunes | RSS

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Summary

Is the artificial intelligence going to take our jobs? Or will it change the daily work of the ECDC experts looking for epidemic signals? Perhaps it already does?

In this episode we sit down for a chat with Gianfranco Spiteri - ECDC's Group Leader in the Epidemic Intelligence team to take a look at the recent AI developments and what the new tools can bring to his daily work.

Find more information about ECDC's work on our portal here: ecdc.europa.eu

Transcript

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0:00.0	ECDC on air.
0:05.0	The podcast of the European Center for Disease Prevention and Control.
0:09.0	Keeping up to date with European Epidemiology.
0:13.0	Hello and welcome to today's episode of ECDC on Air, which is the podcast for the European Center for Disease Prevention and Control.
0:22.6	Today we'll be talking about how artificial intelligence can be used for disease surveillance
0:27.1	and for spotting early signs of disease outbreaks.
0:30.7	We've touched upon this subject in earlier podcasts, where we've looked at specific AI tools for disease surveillance, such as Epitwiter.
0:53.3	Today we're going to expand on this a bit further, and with me here in the studio I have Gianfranco Spiteri, who is heading up ECDC's Epidemic Intelligence Team.
1:02.5	Welcome to Jan Franco.
1:03.8	Thank you, Niklaus.
1:04.8	Can you start off by telling us a little bit more about your work and what your team does?
1:09.0	Yeah, so I'm the group lead of the
1:10.8	Epidemic Intelligence Team, as you said. So our role is basically threat detection. So we aim to
1:18.0	detect outbreaks and public health events linked to communicable diseases as early as possible
1:24.0	and then also to monitor the events as they progress over time.
1:28.2	So the idea is that we provide information on events as rapidly as possible to decision
1:33.5	maker so they can take public health action.
1:36.4	Can you then explain a little bit what kind of role this place in the wider sense of
1:41.1	disease surveillance?
1:42.2	Our team basically brings together different types of surveillance data for
1:47.8	the stream making and response.
1:50.0	So we work with both indicator based surveillance data, which is the data on cases of infectious
	...

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