Shadowing Practice: SOFI: Sequence-based, cross-sectoral, One-health surveillance of food-borne infections | IMMEM XIV - Learn English Speaking with Video

Ders oluşturuluyor...
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Hello, my name is Kaspar Rømer-Willemsen and I'm with the SSI in Copenhagen, Denmark.
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I'm here to tell you about the SOFI,
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a platform for sequence-based cross-sectoral,
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one-health-based surveillance of foodborne infections in Denmark.
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But before I get started,
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I just want to thank the organizers of the MM conference
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for organizing a fantastic conference in an absolutely amazing location in Porto.
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Thank you so much.
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I also want to thank all the co-authors that are on this poster
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because essentially they were the ones involved in the design and the implementation of the SOFI platform.
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They're the ones that did the bulk of the work.
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I'm just basically allowed to come here and talk about it.
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So I'm very, very grateful.
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Thank you.
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So if we look at how surveillance
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or at least how investigation of outbreaks work in the Danish system in terms of foodborne bacterial infections,
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if we look at how that works before the implementation of SOFI,
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well, basically you have two different sectors.
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So we have three different actors here.
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We have the National Food Institute at DTU.
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There's the Danish Veterinary and Food Administration.
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And then there's us at the SSI.
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So constituting basically the public health side.
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And then there's also a food and veterinary side.
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So the way things would work before the implementation of SOFI was that you would have these two different silos.
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So there would be strong collaborations across.
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We have a central outbreak management group.
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They meet every week, basically just coordinating whatever comes in.
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Are there any signals?
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Are there any ongoing outbreaks? do we need to coordinate any efforts?
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But essentially the way that everything was analyzed was kind of siloed
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so that you would have these two sectoral silos where you would have samples coming in,
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DNA extracted, sequencing done, all the different analysis would then be run within each silo.
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If there's any suspicion of anything that might go across these two silos,
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then you would have ad hoc preparations for sharing of sequences
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so that you can do comparisons in a collaborative manner across from that.
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So what has actually changed now is that now we have this the SOFI platform.
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So certain things are the same
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so basically samples are still coming in to the respective institution
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public health side everything in terms of samples derived from patients come to us at SSI.
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We run the samples we do the sequencing
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but once the sequencing is instead of running everything in a
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continued siloed approach now everything is coming into this sophie platform
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so what is sophie
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so basically sophie is um at one on the one hand it's a data sharing platform
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so that basically means
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that prior to everything um you know everything had to be
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sorted out in terms of all the different legal aspects we're
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mixing like personal sensitive information sensitive information about food producers and stuff like that.
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So everything has to be completely sealed down in a legal manner,
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but also having to make sure that once we enter into this SOFI data sharing aspect,
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we need to make sure that it's very,
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very clear who has access to what,
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what is shared, what is common,
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what is open to common analysis,
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and what is absolutely not shared,
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what has to be completely cordoned off to each of the respective partner institutions.
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So, but from surveillance, or outbreak investigation standpoint,
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things are now coming into the same pipeline instead of having this siloed approach,
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it's the same pipeline.
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So now everything is being analyzed according to different analysis modules.
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So, and that ranges from initial quantity control,
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but also to all sorts of species specific modules.
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So like species specific toxin detection,
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virulence factors, stuff like that.
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But most importantly for this,
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actually also there's a CGMLST component.
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So once all this is done,
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now we end up with everything ending up in the same user interface down here.
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So what that means is that instead of having a siloed approach where ad hoc,
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we would have to make sure that we share relevant data
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and we like someone had to have the suspicion that there might be something going on,
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everything is now available in the same interface So that if I'm doing this like just routine surveillance,
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I actually have the access not only to every data point from the public health side,
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but also from the food and veterinary side.
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That means that we now have an even closer collaboration than we did before.
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And it also means that we have the possibility to be much quicker about cluster detection,
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outbreak investigation, and consequently quicker to implement any countermeasures.
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So all in all, a win-win-win situation.
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That was a very, very quick flydown.
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Check out the poster in the online collection from the conference.
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If there's any questions, absolutely feel free to contact us.
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Thank you for your attention.

Why practice speaking with this video?

Practicing your speaking skills using this video is an excellent way to enhance your English speaking practice. Featured speaker Kaspar Rømer-Willemsen discusses the SOFI platform, which focuses on the cross-sectoral surveillance of foodborne infections in Denmark. By shadowing his speech, you can acquire new vocabulary and improve your fluency, all while learning about an interesting topic in public health. Engaging with real-world dialogues like this one offers contextual learning benefits, enabling you to understand not just the language but also the nuances of discussing complex subjects with confidence.

Grammar & Expressions in Context

To elevate your English language skills, it’s crucial to analyze some of the key structures used in the video:

  • Passive Voice: "everything is coming into this SOFI platform." This structure emphasizes the action and the receiver rather than the doer, useful in formal and academic settings.
  • Conditional Sentences: "If there’s any suspicion..." This conditional form is perfect for expressing situations that may or may not happen, enhancing your ability to discuss hypotheticals.
  • Direct Speech: "I want to thank..." Using direct speech allows for personal connection and appreciation, essential in professional and polite engagements.
  • Present Continuous Tense: "we are running the samples." This tense highlights ongoing actions and is frequently used in discussions about current projects or initiatives.

Incorporating these structures into your own speech will not only improve your grammatical range but also enhance your ability to communicate complex ideas effectively.

Common Pronunciation Traps

As you practice shadowing the speaker, pay attention to these specific pronunciation challenges:

  • “Surveillance”: This word can be tricky due to its syllable structure. Make sure to pronounce it clearly, breaking it down as sur-veil-lance.
  • “Implementation”: The emphasis is on the third syllable ("ple"). Practice saying it slowly at first: im-ple-ment-a-tion, and gradually increase your speed.
  • “Platform”: The ‘t’ sound can easily be softened; practicing the clear enunciation will help improve your English pronunciation overall.
  • “Collaboration”: This word has many syllables and can be challenging. Break it down into col-lab-o-ra-tion to master its pronunciation.

By focusing on these common pronunciation traps while practicing with the video, you can significantly improve your spoken English and work toward mastering the nuances of the language. Embrace the challenge of shadowspeak to enhance both your clarity and confidence in speaking.

Gölgeleme Tekniği Nedir?

Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.