Computational Model Library

COMOKIT (version 1.0.1)

In the face of the COVID-19 pandemic, public health authorities around the world have experimented, in a short period of time, with various combinations of interventions at different scales. However, as the pandemic continues to progress, there is a growing need for tools and methodologies to quickly analyze the impact of these interventions and answer concrete questions regarding their effectiveness, range and temporality.

COMOKIT, the COVID-19 modeling kit, is such a tool. It is a computer model that allows intervention strategies to be explored in silico before their possible implementation phase. It can take into account important dimensions of policy actions, such as the heterogeneity of individual responses or the spatial aspect of containment strategies.

In COMOKIT, built using the agent-based modeling and simulation platform GAMA, the profiles, activities and interactions of people, person-to-person and environmental transmissions, individual clinical statuses, public health policies and interventions are explicitly represented and they all serve as a basis for describing the dynamics of the epidemic in a detailed and realistic representation of space.

Relying on sub-models that have been extensively tested, spatial and social data that can be collected easily and quickly, COMOKIT has been designed from the ground up to be generic, scalable and portable in a variety of social, epidemiological, economic, and geographical scenarios. As a consequence, it is highly configurable and extendable to new case studies.

Release Notes

An all-in-one distribution of COMOKIT V1.0.1 (comprising a Java Virtual Machine, GAMA 1.8.1 and COMOKIT itself), together with a comprehensive set of guidelines and documentation, allows first-time users to quickly experiment with the model and build their own extensions or applications in a matter of minutes. Advanced GAMA users can download and import the model from its GitHub repository as long as they run GAMA 1.8.1. Additional datasets are available in a separate repository.

Version Submitter First published Last modified Status
1.0.1 Alexis Drogoul Wed Jul 1 02:49:02 2020 Wed Jul 1 02:49:02 2020 Published Peer Reviewed
1.0.0 Alexis Drogoul Tue May 26 08:04:35 2020 Tue May 26 08:04:35 2020 Published


This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.