Thoughtworks Technology Podcast

Agent-based modelling for epidemiology: EpiRust and BharatSim

Aug 25, 2022

32:36

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Highlights

AI Chapters

Episode notes

Pasatzimis Baratsim

02:40

How Can I Get Involved in Public Health Research?

02:34

Barrat Sim and Epy Rust

01:22

Introduction

4min

Barrat Sim and Epy Rust

1min

Partesem

5min

Barotsim or Aereased?

3min

The Technical Foundations of Upe Rust

2min

Pasatzimis Baratsim

3min

Are We Nearly Governing a Population of Eight Million?

5min

Epidemiology - How Much Is It Related to Your Implementation?

2min

How Can I Get Involved in Public Health Research?

3min

10.

Are You Looking for Collaborations?

4min

If the pandemic has taught us anything, it's that epidemiology is incredibly complex: the millions of edge cases, what-ifs, and counterfactuals make modelling exceptionally difficult. One way of tackling this complexity is through agent-based modelling.

In this episode, Rebecca Parsons and Premanand Chandrasekaran are joined by Thoughtworks colleague Jayanta Kshirsagar and Gautam Menom, professor of physics and biology at Ashoka University. They discuss how Thoughtworks has been helping researchers in India using agent-based modelling with two custom-built tools: EpiRust and BharatSim.