Chris Nowinski is a former football player at Harvard University and professional wrestler with WWE, World Wrestling Entertainment. After enduring a career-ending head injury, Chris has dedicated his professional life to serving patients and families affected by brain trauma, particularly Chronic traumatic encephalopathy, or CTE, a progressive neurodegenerative disease that develops after repeated head injuries. Jay and Chris discuss the state of head injuries in American athletics, the difference between advocating for head safety at youth and professional levels, Chris’ newest research, and much more. Episode Chapters (00:00) Intro (00:50) changes in the culture around concussions in the past two decades (02:39) padded helmet technology (03:55) concussion reporting in the NFL (10:35) Chris’ career path and concussion history (14:52) connecting with activists who haven’t themselves suffered a traumatic brain injury (17:42) SHAAKE - a new sign to identify concussions (20:53) Unions can help players advocate for safety policies (23:10) final thoughts and goodbye For video episodes, watch on www.youtube.com/@therudermanfamilyfoundation Stay in touch: X: @JayRuderman | @RudermanFdn LinkedIn: Jay Ruderman | Ruderman Family Foundation Instagram: All About Change Podcast | Ruderman Family Foundation To learn more about the podcast, visit https://allaboutchangepodcast.com/…
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How to estimate the reproduction number using both epidemiological and genetic data? - Alicia Gill | SBIDER Presents - Episode 12
Manage episode 435327687 series 3354326
内容由SBIDER提供。所有播客内容（包括剧集、图形和播客描述）均由 SBIDER 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
In this episode of SBIDER Presents we are joined by Alicia GIll. We discuss with Alicia their research looking at particle MCMC methods and its application to Bayesian inference of infectious disease dynamics from epidemiological and genetic data. Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH!
13集单集
分享Manage episode 435327687 series 3354326
内容由SBIDER提供。所有播客内容（包括剧集、图形和播客描述）均由 SBIDER 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
In this episode of SBIDER Presents we are joined by Alicia GIll. We discuss with Alicia their research looking at particle MCMC methods and its application to Bayesian inference of infectious disease dynamics from epidemiological and genetic data. Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH!
13集单集
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1 How to estimate the reproduction number using both epidemiological and genetic data? - Alicia Gill | SBIDER Presents - Episode 12 12:52
In this episode of SBIDER Presents we are joined by Alicia GIll. We discuss with Alicia their research looking at particle MCMC methods and its application to Bayesian inference of infectious disease dynamics from epidemiological and genetic data. Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH!…
1 Investigating symptom propagation: What are the implications for infectious disease modelling and health economic evaluations? - Phoebe Asplin | SBIDER Presents - Episode 11 13:04
Phoebe Asplin discusses recent publications associated with her PhD project, using mathematical models as a tool to explore the extent to which symptom propagation exists and its subsequent impact on infectious disease and health economic modelling assessments. Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH!…
1 Can we use mathematical modelling to investigate within-host dynamics of H5N1 influenza infection in humans? | SBIDER Presents - Episode 10 28:02
In this episode of SBIDER Presents we are joined by Daniel Higgins, Josh Looker and Robert Sunnucks. We discuss their work on introducing a framework for intra-host dynamics and mutations modelling of H5N1 influenza infection in humans. Carried out as a group project as part of the Mathematics for Real-World Systems (MathSys) Centre for Doctoral Training MSc course, we also reflect on the group’s project experiences. Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH !…
1 How can we measure the growth of infections during an epidemic? | SBIDER Presents - Episode 9 20:04
We discuss the research article “ Bayesian estimation of real-time epidemic growth rates using Gaussian processes: local dynamics of SARS-CoV-2 in England ” and methods to get reasonable estimates of the change in rate of infection in small, localised populations. Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH!…
1 How can farmer behaviour be incorporated into models for livestock disease transmission? | SBIDER presents - Episode 8 21:35
We discuss the research article “ Incorporating heterogeneity in farmer disease control behaviour into a livestock disease transmission model ” and interdisciplinary approaches for collecting data on diversity in farmer livestock disease management behaviours. Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH!…
1 Antimicrobial resistance and pathogen genomic data - Xavier Didelot | SBIDER presents - Episode 7 21:24
Prof Xavier Didelot discusses the research article " Estimating the fitness cost and benefit of antimicrobial resistance from pathogen genomic data " and how modelling that uses genomic data can inform the use of antibiotics in a way that mitigates the spread of antimicrobial resistance. Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH!…
There is ongoing concern at the impact on avian species of recent highly pathogenic avian influenza (HPAI) outbreaks. Listen to an international perspective on its implications for wild bird conservation efforts and poultry owners across the Americas and Europe. Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH!…
1 Antimicrobial resistance and explainable AI - Massimo Cavallaro | SBIDER presents - Episode 5 16:19
Dr Massimo Cavallaro discusses the research article " Informing antimicrobial stewardship with explainable AI " and whether the characteristics of clinical patients can be used to determine the chance of antimicrobial resistance. Have feedback? Complete our Google Form: https://bit.ly/3IIgPKH!
1 Integrating geostatistical maps and infectious disease transmission models - Simon Spencer | SBIDER presents - Episode 4 14:35
Dr Simon Spencer discusses the research article “Integrating geostatistical maps and infectious disease transmission models using adaptive multiple importance sampling” & fitting disease transmission models to spatial epidemiological data in work led by Dr Renata Retkute. Have feedback? Visit https://bit.ly/3IIgPKH!…
1 How have mathematical models been used as part of the response to the COVID-19 pandemic? - Matt Keeling | SBIDER presents - Episode 3 21:21
Prof Matt Keeling discusses the research article “ Comparison of the 2021 COVID-19 roadmap projections against public health data in England ” and the use of mathematical models as part of the response to the COVID-19 pandemic.
1 How have humans adapted to combat malaria parasites? - Bridget Penman | SBIDER presents - Episode 2 22:49
Dr Bridget Penman discusses the research article “ Adaptive immunity selects against malaria blocking mutations ”. Applications are now open for a new postdoc position and more in our news section.
Dr Louise Dyson discusses the research article “ Possible future waves of SARS-CoV-2 infection generated by variants of concern with a range of characteristics ”. Dr Robin Thompson describes the activities of the Royal Society RAMP initiative.
Welcome to SBIDER presents ! Featuring work in biological & medical sciences by researchers from SBIDER ( Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research , University of Warwick ) & collaborators. @WarwickSBIDER
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