SISCOVID: modelos de sistemas complejos para contribuir a disminuir la transmisión de SARS-COV-2 en contextos urbanos de Colombia

Palabras clave

Modelos sistémicos
Sistemas Complejos


Cómo citar

Montes, F., Meisel, J. D., Lemoine, P., Higuera, D. R., Useche, A. F., Baquero, S. del C., Quintero, J., Martínez, D. A., Idrobo, L., Jaramillo, A. M., Umaña, J. D., Erazo, D., Duque, D., Alarcón, A., Rojas, C., Sarmiento, O. L., Ortiz, S., Castro, J., Martínez, G., Sosa, J., Giraldo, J. K., Peña, F. C., Montes, C., Guerrero, J. S., & Buitrago, E. (2020). SISCOVID: modelos de sistemas complejos para contribuir a disminuir la transmisión de SARS-COV-2 en contextos urbanos de Colombia. Revista De Ingeniería, 1(50), 22–33.


The development and implementation of strategies to reduce SARS-CoV2 transmission is a prevailing challenge for Colombia. These strategies ought to be dynamic and specific to each region, seeking to balance health and economic impacts. This task calls for an interdisciplinary approach to ensure a holistic view of the problem. This article presents findings and results obtained from the SISCOVID project, which used simulated systemic models to support decision making and efforts to mitigate the pandemic in Colombia. The project included researchers from Universidad de Los Andes, the Centro Nacional de Consultoría (CNC) and Universidad de Ibagué, in alliance with several international universities and companies. SISCOVID helped decision makers design strategies to reduce SARS-CoV-2 transmission in urban contexts for the cities of Barranquilla, Bogotá, Cali, Cartagena, and Medellín.


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