Processing math: 100%

Introduction to Simulation Modeling

Highlights and Discussion

Andreas Handel

2021-07-14 19:05:58

Introduction

  • I assume you watched the 2 lectures, here I’m giving a brief summary and touching on some of the highlights.

  • I allocated most of the time for discussion/Q&A.

Simulation models

  • Are widely used in all areas of science.
  • Are implementations of specific processes/mechanisms as a computer model.

Bacteria˙B=gB(1−BBmax)−dBB−kBIImmune Response˙I=rBI−dII

Model type comparison

  • Phenomenological/non-mechanistic/(statistical) models
    • Look for patterns in data
    • Do not describe mechanisms leading to the observed outcomes (data)

y=b0+b1x1+b2x2+...

  • Mechanistic/process/simulation models
    • Try to represent simplified versions of mechanisms
    • Can be used without and with data (and then also become statistical)

Simulation model uses

  • Exploring the behavior of a system.
  • Making predictions about the behavior of a system.
  • (With data) Performing inference, testing hypotheses.
Exploring/predicting cytokine-based interventions for TB (Wigginton and Kirschner, 2001 J Imm)

Exploring/predicting cytokine-based interventions for TB (Wigginton and Kirschner, 2001 J Imm)

Simulation model types

  • Compartmental models are the simplest and most widely used.

  • Agent-based or network models are more detailed/complex.

    Acute virus infection. (Handel et al 2009 J Roy Soc Interface)

    Acute virus infection. (Handel et al 2009 J Roy Soc Interface)

Discussion, Q&A, AMA

  • Type in the chat or unmute and ask.