COMOKIT Documentation
A GAMA model on the assessment and comparisons of intervention policies against the CoVid19 pandemics
COMOKIT is a complex integrated modeling kit that combines several specialized sub-models (transmission, activities, epidemiology, etc.) in order to study the diffusion of infectious diseases at different scales: from the building scale to the world scale. COMOKIT proposes 3 models, each one adapted to a study scale. Each of these models is fully described in the form of a downloadable O.D.D document: MICRO, MESO and MACRO. These descriptions do not concern the operational aspects of installation, initialization, parameterization and extension of COMOKIT, which are covered by this online documentation.
- Getting started covers downloading, installing and launching the all-in-one version of COMOKIT (or importing COMOKIT into an existing GAMA installation) and executing predefined experiments.
- Headless execution explains how to run experiments without graphical outputs, for example on an HPC infrastructure.
- Parameterizing simulations explains how to modify the input parameters used by the different sub-models.
- Extending COMOKIT covers how to prepare datasets so that COMOKIT can be applied to new case studies, and how to define new experiments
Please also refer to the official GAMA documentation for all matters related to the operation of the platform.
Citing COMOKIT
If you use COMOKIT in your research and want to cite it (in a paper, presentation, whatever), please use this reference:
Gaudou, B., Huynh, N. D., Philippon, D., Brugière, A., Chapuis, K., Taillandier, P., Larmande, P., and Drogoul, A. (2020) COMOKIT: a modeling kit to understand, analyze and compare the impacts of mitigation policies against the COVID-19 epidemic at the scale of a city . Front. Public Health., [doi:10.3389/fpubh.2020.563247]
or you can choose to cite the website instead:
COMOKIT website, https://comokit.org
A complete list of references (papers and PhD theses on or using COMOKIT) is available on the press page.