Investigating Symptom Propagation: What Are The Implications For Infectious Disease Modelling And Health Economic Evaluations? - Phoebe Asplin | SBIDER Presents - Episode 11 SBIDER Presents podcast

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State Secrets: Inside The Making Of The Electric State

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The Secret To Getting Inspired: Millie Bobby Brown & Chris Pratt Go Behind The Scenes 21:04

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Step into the mysterious and visually stunning world of The Electric State as host Francesca Amiker takes you behind the scenes with the creative masterminds who brought Simon Stålenhag’s dystopian vision to life. In this premiere episode, directors Joe and Anthony Russo, stars Millie Bobby Brown and Chris Pratt, writers Christopher Markus and Stephen McFeely, and producers Angela Russo-Otstot and Chris Castaldi reveal how they transformed a haunting graphic novel into an epic cinematic experience. Watch The Electric State coming to Netflix on March 14th. Check out more from Netflix Podcasts . State Secrets: Inside the Making of The Electric State is produced by Netflix and Treefort Media.…

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Investigating symptom propagation: What are the implications for infectious disease modelling and health economic evaluations? - Phoebe Asplin | SBIDER Presents - Episode 11

약 1년 전 13:04

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SBIDER에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 SBIDER 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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!

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Investigating symptom propagation: What are the implications for infectious disease modelling and health economic evaluations? - Phoebe Asplin | SBIDER Presents - Episode 11

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published 약 1년 전

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SBIDER에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 SBIDER 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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!

… continue reading

13 에피소드

#Science #Fitness #Biology #Math #SBIDER #Research Articles

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How to estimate the reproduction number using both epidemiological and genetic data? - Alicia Gill | SBIDER Presents - Episode 12 12:52

29 weeks 전12:52

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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!…

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Investigating symptom propagation: What are the implications for infectious disease modelling and health economic evaluations? - Phoebe Asplin | SBIDER Presents - Episode 11 13:04

32 weeks 전13:04

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나중에 재생

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!…

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Can we use mathematical modelling to investigate within-host dynamics of H5N1 influenza infection in humans? | SBIDER Presents - Episode 10 28:02

32 weeks 전28:02

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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 !…

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How can we measure the growth of infections during an epidemic? | SBIDER Presents - Episode 9 20:04

1 year 전20:04

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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!…

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How can farmer behaviour be incorporated into models for livestock disease transmission? | SBIDER presents - Episode 8 21:35

1 year 전21:35

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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!…

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Antimicrobial resistance and pathogen genomic data - Xavier Didelot | SBIDER presents - Episode 7 21:24

2 years 전21:24

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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!…

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Avian influenza: An international perspective | SBIDER presents - Episode 6 46:13

2 years 전46:13

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46:13

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!…

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Antimicrobial resistance and explainable AI - Massimo Cavallaro | SBIDER presents - Episode 5 16:19

2 years 전16:19

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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!

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Integrating geostatistical maps and infectious disease transmission models - Simon Spencer | SBIDER presents - Episode 4 14:35

2 years 전14:35

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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!…

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How have mathematical models been used as part of the response to the COVID-19 pandemic? - Matt Keeling | SBIDER presents - Episode 3 21:21

2 years 전21:21

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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.

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How have humans adapted to combat malaria parasites? - Bridget Penman | SBIDER presents - Episode 2 22:49

3 years 전22:49

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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.

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How severe would a new covid variant be? - Louise Dyson | SBIDER presents - Episode 1 21:05

3 years 전21:05

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21:05

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.

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Welcome to SBIDER presents! 1:10

3 years 전1:10

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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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