COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions

Petrônio C. L. Silva , Paulo V. C. Batista , Hélder S. Lima , Marcos A. Alves , Rodrigo P. Silva , Frederico G. Guimarães

Texts

• Journal Paper: Chaos, Solitons & Fractals, 2020. Availabe in https://doi.org/10.1016/j.chaos.2020.110088
• Preprint on ArXiv, available at https://arxiv.org/abs/2006.10532
• An early version of COVID_ABS was published on Towards Data Science, available at https://towardsdatascience.com/agent-based-simulation-of-covid-19-health-and-economical-effects-6aa4ae0ff397.
• Talk in "COVID-19 Simulation Summit", video and slides

References

• Agent-based Modeling Will Unleash a New Paradigm of Machine Learning
• COVID19: Top 7 online interactive simulations, curated

Source Code and Experiments

The experimental results can be executed at https://bit.ly/covid_abs_experiments

Documentation

Coming soon.