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!

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.

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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!

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!

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!

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!

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!