• #120 Innovations in Infectious Disease Modeling, with Liza Semenova & Chris Wymant

  • Nov 27 2024
  • Length: 1 hr and 2 mins
  • Podcast

#120 Innovations in Infectious Disease Modeling, with Liza Semenova & Chris Wymant

  • Summary

  • Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!

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    Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!

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    Takeaways:

    • Epidemiology focuses on health at various scales, while biology often looks at micro-level details.
    • Bayesian statistics helps connect models to data and quantify uncertainty.
    • Recent advancements in data collection have improved the quality of epidemiological research.
    • Collaboration between domain experts and statisticians is essential for effective research.
    • The COVID-19 pandemic has led to increased data availability and international cooperation.
    • Modeling infectious diseases requires understanding complex dynamics and statistical methods.
    • Challenges in coding and communication between disciplines can hinder progress.
    • Innovations in machine learning and neural networks are shaping the future of epidemiology.
    • The importance of understanding the context and limitations of data in research.

    Chapters:

    00:00 Introduction to Bayesian Statistics and Epidemiology

    03:35 Guest Backgrounds and Their Journey

    10:04 Understanding Computational Biology vs. Epidemiology

    16:11 The Role of Bayesian Statistics in Epidemiology

    21:40 Recent Projects and Applications in Epidemiology

    31:30...

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