Artículo

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

Arrar, MehrnooshIcon ; Belloli, Laouen Mayal LouanIcon ; Bianco, Ana MariaIcon ; Boechi, LeonardoIcon ; Castro, Rodrigo DanielIcon ; Duran, Guillermo AlfredoIcon ; Etchenique, Roberto ArgentinoIcon ; Fernández, Natalia BrendaIcon ; Ferrer, LucianaIcon ; Garbervetsky, Diego DavidIcon ; Goldsmit, Rodrigo; Grillo Vidal, Carolina; Kamienkowsk, Juan E.; Laciana, Pablo; Lanzarotti, Esteban; Lozano, Mario EnriqueIcon ; Maidana, Rodrigo; Mendiluce, Mauricio; Minoldo, Sol; Pecker Marcosig, EzequielIcon ; Pepino, Leonardo DanielIcon ; Puerta, Armando E.; Quiroga, RodrigoIcon ; Solovey, GuillermoIcon ; Valdora, Marina SilviaIcon ; Zapatero, Mariano
Fecha de publicación: 04/2021
Editorial: Centro de Estudios sobre Ciencia, Desarrollo y Educación Superior
Revista: Science Reviews
ISSN: 2683-9288
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

With the arrival of the pandemic in Argentina in March 2020,a working group of scientists from two institutes belonging tothe Faculty of Exact and Natural Sciences of the University ofBuenos Aires and CONICET, together with colleagues fromdifferent academic institutions in the country, decided to put forthour experience and knowledge in data science and associateddisciplines, towards helping with decision-making in the contextof COVID-19. Data analysis within Argentina and other countries,scenario simulation, as well as rapid response projects- mainly inthe province of Buenos Aires- were all within the scope of our aim. This review article outlines some ofthe activities carried out by our team throughout these pandemic months.
Palabras clave: DATA-DRIVEN COVID-19 RESPONSE , AGENT-BASED SIMULATION , EFFECTIVE REPRODUCTIVE NUMBER , PROGNOSIS MODELS , COVID-19
 
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Licencia
info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/137193
URL: http://www.scirevfew.net/index.php/sciencereviews/article/view/38
Colecciones
Articulos (IC)
Articulos de INSTITUTO DE CALCULO
Articulos(CIECS)
Articulos de CENTRO DE INVESTIGACIONES Y ESTUDIO SOBRE CULTURA Y SOCIEDAD
Articulos(ICC)
Articulos de INSTITUTO DE INVESTIGACION EN CIENCIAS DE LA COMPUTACION
Articulos(INFIQC)
Articulos de INST.DE INVESTIGACIONES EN FISICO- QUIMICA DE CORDOBA
Articulos(INQUIMAE)
Articulos de INST.D/QUIM FIS D/L MATERIALES MEDIOAMB Y ENERGIA
Citación
Arrar, Mehrnoosh; Belloli, Laouen Mayal Louan; Bianco, Ana Maria; Boechi, Leonardo; Castro, Rodrigo Daniel; et al.; Mathematical and Computational Initiatives from the University of Buenos Aires to Contribute to Decision-Making in the Context of COVID-19 in Argentina; Centro de Estudios sobre Ciencia, Desarrollo y Educación Superior; Science Reviews; 2; 2; 4-2021; 6-40
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