Mathematical and Computational Initiatives from the University of Buenos Aires to Contribute to Decision-Making in the Context of COVID-19 in Argentina. REVIEW

With the arrival of the pandemic in Argentina in March 2020, a working group of scientists from two institutes belonging to the Faculty of Exact and Natural Sciences of the University of Buenos Aires and CONICET, together with colleagues from different...

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Detalles Bibliográficos
Autores principales: Arrar, Mehrnoosh, Belloli, Laouen Mayal Louan, Bianco, Ana María, Boechi, Leonardo, Castro, Rodrigo Daniel, Duran, Guillermo Alfredo, Etchenique, Roberto Argentino, Fernández, Natalia Brenda, Ferrer, Luciana, Garbervetsky, Diego David, Goldsmit, Rodrigo, Grillo, Carolina, Kamienkowsk, Juan E., Laciana, Pablo, Lanzarotti, Esteban, Lozano, Mario Enrique, Maidana, Rodrigo, Mendiluce, Mauricio, Minoldo, Sol, Daniel Pecker Marcosig, Ezequiel Puerta, Ezequiel Quiroga, Rodrigo Solovey, Guillermo Valdora, Marina Silvia Zapatero, Mariano, Pepino, Leonardo Daniel, Pecker Marcosig, Ezequiel, Puerta, Ezequiel, Quiroga, Rodrigo, Solovey, Guillermo, Valdora, Marina Silvia, Zapatero, Mariano
Formato: article
Lenguaje:Español
Publicado: 2021
Materias:
Covid 19
Data-driven
Response
Agent-based simulations
Effective reproductive number
Prognosis models
Buenos Aires
Pandemic
Acceso en línea:http://hdl.handle.net/11086/19833
http://www.scirevfew.net/index.php/sciencereviews/article/view/38
Aporte de:
Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba

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