Journal-Clubbing Our Way Through Internal Medicine
Do you also find it hard to follow the medical literature?
Newsletters with tables of contents are hard to get through after having written all your notes and maybe having done a chart dissection.
Welcome to IM Journal Club!
Our mission: to guide you through some of the most interesting internal medicine studies published in the last few weeks and months that you WOULD have liked to or SHOULD have heard about
Target groups: physicians and other clinicians in general internal or family medicine – hospital medicine and primary care – or in an internal medicine subspecialty; biostatisticians, epidemiologists, or data scientists; journal club enthusiasts!
Hidden agenda: to shed some lights on the studies’ methods AND on the context (what was known before, how do the new results change things – so what does this all mean?). We will give you episodes with primers on particularly difficult methods.
We will come out with a new episode every one to two weeks - we'll upload early on Fridays - so you can listen on your commute or on the weekend.
Please subscribe in your favorite podcast app or to our YouTube channel .
Please let us know what we can do better, or what new study we could cover: You can leave a review in your podcasting app, a comment on YouTube, or drop us a line at hello@imjournalclub.com
We are also on social; our email newsletter will be on Twitter: https://twitter.com/IMJournalClub
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Show Credits
Host: Ben Geisler
Video editor: Fernando Tábora
Methods consultant: Professor Ulrich Mansmann
Advisory group (current): Bijay Acharya, Chang-Berm Kang, Jeffrey L. Greenwald, Jonathan W. Heflin, Kathy May Tran, Marcel Müller, Rahul Ganatra, and Warren Chuang
Supported by LMU Munich’s Institute for Epidemiology, Biometry, and Medical Information Processing
Hosted on Acast. See acast.com/privacy for more information.
Journal-Clubbing Our Way Through Internal Medicine
Do you also find it hard to follow the medical literature?
Newsletters with tables of contents are hard to get through after having written all your notes and maybe having done a chart dissection.
Welcome to IM Journal Club!
Our mission: to guide you through some of the most interesting internal medicine studies published in the last few weeks and months that you WOULD have liked to or SHOULD have heard about
Target groups: physicians and other clinicians in general internal or family medicine – hospital medicine and primary care – or in an internal medicine subspecialty; biostatisticians, epidemiologists, or data scientists; journal club enthusiasts!
Hidden agenda: to shed some lights on the studies’ methods AND on the context (what was known before, how do the new results change things – so what does this all mean?). We will give you episodes with primers on particularly difficult methods.
We will come out with a new episode every one to two weeks - we'll upload early on Fridays - so you can listen on your commute or on the weekend.
Please subscribe in your favorite podcast app or to our YouTube channel .
Please let us know what we can do better, or what new study we could cover: You can leave a review in your podcasting app, a comment on YouTube, or drop us a line at hello@imjournalclub.com
We are also on social; our email newsletter will be on Twitter: https://twitter.com/IMJournalClub
---
Show Credits
Host: Ben Geisler
Video editor: Fernando Tábora
Methods consultant: Professor Ulrich Mansmann
Advisory group (current): Bijay Acharya, Chang-Berm Kang, Jeffrey L. Greenwald, Jonathan W. Heflin, Kathy May Tran, Marcel Müller, Rahul Ganatra, and Warren Chuang
Supported by LMU Munich’s Institute for Epidemiology, Biometry, and Medical Information Processing
Hosted on Acast. See acast.com/privacy for more information.
Since the onset of the COVID-19 pandemic, we have come a long way to understand the complex and changing dynamics of the severe acute respiratory syndrome caused by this virus (SARS-CoV-2).
Mathematical modeling and quantitative analysis of empirical data played a pivotal role to answer the emerging questions as the pandemic unfolds and to better understand and control the pandemic. Three articles are presented that describe and critique the role of modeling during the pandemic.
Speaker: Ulrich Mansmann, Ph.D. (LMU Munich, Germany)
0:00 Intro
2:12 Why model COVID-19?
5:55 Future considerations
14:46 Non-pharmacologic interventions
19:55 New variants, multiple infections/reinfection, vaccinations, vanishing immunity, and endemicity
27:36 Summary
29:41 Q&A
41:29 Outro
References:
-Kolle K et al.: The changing epidemiology of SARS-CoV-2. Science 375(2022);6585:1116-21. https://doi.org/10.1126/science.abm4915
-H-P Dürr
& M Eichner: Corona-Pandemie: Zukunfts-Überlegungen aus der Sicht epidemiologischer Modellierung. MVF 2/2022; 57-63. http://doi.org/10.24945/MVF.02.22.1866-0533.2393
-B Müller: Zur Modellierung der Corona-Pandemie – eine Streitschrift. MVF 6/2021; 68-79. http://doi.org/10.24945/MVF.06.21.1866-0533.2354
#covid19 #epidemiology #modeling #corona
Hosted on Acast. See acast.com/privacy for more information.