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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How to estimate the reproduction number using both epidemiological and genetic data? - Alicia Gill | SBIDER Presents - Episode 12
Investigating symptom propagation: What are the implications for infectious disease modelling and health economic evaluations? - Phoebe Asplin | SBIDER Presents - Episode 11
How can we measure the growth of infections during an epidemic? | SBIDER Presents - Episode 9
How can farmer behaviour be incorporated into models for livestock disease transmission? | SBIDER presents - Episode 8
Antimicrobial resistance and pathogen genomic data - Xavier Didelot | SBIDER presents - Episode 7
Avian influenza: An international perspective | SBIDER presents - Episode 6
Antimicrobial resistance and explainable AI - Massimo Cavallaro | SBIDER presents - Episode 5
Integrating geostatistical maps and infectious disease transmission models - Simon Spencer | SBIDER presents - Episode 4
How have mathematical models been used as part of the response to the COVID-19 pandemic? - Matt Keeling | SBIDER presents - Episode 3
How have humans adapted to combat malaria parasites? - Bridget Penman | SBIDER presents - Episode 2
How severe would a new covid variant be? - Louise Dyson | SBIDER presents - Episode 1
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