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

dc.contributor.authorFelipe Montes
dc.contributor.authorJosé D. Meisel
dc.contributor.authorPablo Lemoine
dc.contributor.authorDiana R. Higuera
dc.contributor.authorAndrés F. Useche
dc.contributor.authorSofía del C. Baquero
dc.contributor.authorJuliana Quintero
dc.contributor.authorDiego A. Martínez
dc.contributor.authorL. Idrobo Idrobo
dc.contributor.authorAna M. Jaramillo
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T18:19:56Z
dc.date.available2026-03-22T18:19:56Z
dc.date.issued2020
dc.description.abstractThe 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.
dc.identifier.doi10.16924/revinge.50.3
dc.identifier.urihttps://doi.org/10.16924/revinge.50.3
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/69488
dc.language.isoes
dc.publisherUniversidad de Los Andes
dc.relation.ispartofRevista de Ingeniería
dc.sourceUniversidad de Los Andes
dc.subjectCoronavirus disease 2019 (COVID-19)
dc.subjectSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
dc.subjectGeography
dc.subjectPandemic
dc.subjectTransmission (telecommunications)
dc.subjectAlliance
dc.subjectWelfare economics
dc.subjectPolitical science
dc.subject2019-20 coronavirus outbreak
dc.subjectTask (project management)
dc.titleSISCOVID: modelos de sistemas complejos para contribuir a disminuir la transmisión de SARS-COV-2 en contextos urbanos de Colombia
dc.typearticle

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