M2CovidSim2

Framework based on multi-agent in multi-environment for epidemiological study.

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23 Sep 2022

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Framework based on multi-agent in multi-environment for epidemiological study. This framework provides modeling close to the reality of a real society, incorporating socio-economic and cognitive aspects. These frameworks aim to provide tools in the decision-making process of managing public health policies, hospital resources, immunological adaptation of the population and population density study in areas such as schools, hospitals, commerce and circulation.
If this framework is useful for your research, please cite the following work:
Castro, B. M., de Melo, Y. D. A., Dos Santos, N. F., da Costa Barcellos, A. L., Choren, R., & Salles, R. M. (2021). Multi-agent simulation model for the evaluation of COVID-19 transmission. Computers in Biology and Medicine, 136, 104645.

Cite As

brenno castro (2026). M2CovidSim2 (https://www.mathworks.com/matlabcentral/fileexchange/118000-m2covidsim2), MATLAB Central File Exchange. Retrieved .

Castro, B. M., de Melo, Y. D. A., Dos Santos, N. F., da Costa Barcellos, A. L., Choren, R., & Salles, R. M. (2021). Multi-agent simulation model for the evaluation of COVID-19 transmission. Computers in Biology and Medicine, 136, 104645.

LIMA, Y. O., COSTA, D. M., SOUZA, J. M. Risco de Contágio por Ocupação no Brasil. Impacto COVID-19, Rio de Janeiro, 26 de Mar. de 2020. Disponível em: https://impactocovid.com.br. Acesso em: 23 de Set. de 2022.

The Workers Who Face the Greatest Coronavirus Risk - Lazaro Gamio (New York Times) - https://www.nytimes.com/interactive/2020/03/15/business/economy/coronavirus-worker-risk.html

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General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
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Version Published Release Notes
1.0