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epidemix-An interactive multi-model application for teaching and visualizing infectious disease transmission.

Ulrich Muellner1, Guillaume Fournié2, Petra Muellner1

  • 1Epi-interactive, P.O. Box 15327, Miramar, Wellington, 6243, New Zealand.

Epidemics
|December 24, 2017
PubMed
Summary

Mathematical models for disease transmission can be complex. The epidemix application offers a visual interface to understand epidemic dynamics and control interventions without needing advanced math skills.

Keywords:
Application softwareDisease dynamicsEpidemiologyInfectious diseaseMathematical modellingTeaching

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Area of Science:

  • Epidemiology
  • Mathematical Biology
  • Computational Science

Background:

  • Mathematical models are crucial for understanding disease transmission patterns and informing public health policy during outbreaks.
  • The complexity of mathematical models can create a barrier for non-specialists, potentially limiting their effective use in policy development.
  • Bridging the gap between complex modeling and practical application is essential for improving disease control strategies.

Purpose of the Study:

  • To enhance the accessibility of mathematical disease transmission models to a broader audience, including policymakers and health professionals.
  • To provide a user-friendly platform for understanding the impact of various modeling assumptions on epidemic trajectories and control interventions.
  • To facilitate hands-on learning experiences for non-specialists in disease dynamics and control.

Main Methods:

  • Development of a visual interface (epidemix application) for a suite of eight diverse mathematical models.
  • Inclusion of compartmental and individual-based, deterministic and stochastic models.
  • Representation of homogeneous and heterogeneous mixing patterns, considering contact networks and spatial distribution.

Main Results:

  • The epidemix application allows users to explore the effects of different modeling assumptions on epidemic spread and intervention outcomes.
  • Users can gain insights into disease dynamics without direct engagement with complex mathematical equations or programming.
  • The tool supports the teaching of key concepts in mathematical modeling for disease control to diverse audiences.

Conclusions:

  • The epidemix application democratizes the understanding of mathematical disease transmission models.
  • It empowers policymakers and health professionals to better interpret and utilize model outputs for informed decision-making.
  • This visual tool fosters a more collaborative approach between modelers and end-users in public and animal health.