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

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 academic institutions in the country, decided t...

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Autores principales: Arrar, Mehrnoosh, Belloli, Laouen, Bianco, Ana Maria, Boechi, Leonardo, Castro, Rodrigo, Durán, Guillermo, Etchenique, Roberto, Fernandez, Natalia Brenda, Ferrer, Luciana, Garbervetsky, Diego, Goldsmit, Rodrigo, Grillo Vidal, Carolina, Kamienkowski, Juan E., Laciana, Pablo, Lanzarotti, Esteban, Lozano, Mario, Maidana, Rodrigo, Mendiluce, Mauricio, Minoldo, Sol, Pecker-Marcosig, Ezequiel, Pepino, Leonardo, Puerta, Armando Ezequiel, Quiroga, Rodrigo, Solovey, Guillermo, Valdora, Marina, Zapatero, Mariano
Formato: Articulo
Lenguaje:Español
Publicado: 2021
Materias:
Matemática
Data-driven COVID-19 response
Agent-based simulations
Prognosis models
Effective reproductive number
Buenos Aires
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/137753
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-137753
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Matemática
Data-driven COVID-19 response
Agent-based simulations
Prognosis models
Effective reproductive number
Buenos Aires
spellingShingle Matemática
Data-driven COVID-19 response
Agent-based simulations
Prognosis models
Effective reproductive number
Buenos Aires
Arrar, Mehrnoosh
Belloli, Laouen
Bianco, Ana Maria
Boechi, Leonardo
Castro, Rodrigo
Durán, Guillermo
Etchenique, Roberto
Fernandez, Natalia Brenda
Ferrer, Luciana
Garbervetsky, Diego
Goldsmit, Rodrigo
Grillo Vidal, Carolina
Kamienkowski, Juan E.
Laciana, Pablo
Lanzarotti, Esteban
Lozano, Mario
Maidana, Rodrigo
Mendiluce, Mauricio
Minoldo, Sol
Pecker-Marcosig, Ezequiel
Pepino, Leonardo
Puerta, Armando Ezequiel
Quiroga, Rodrigo
Solovey, Guillermo
Valdora, Marina
Zapatero, Mariano
Mathematical and Computational Initiatives from the University of Buenos Aires to Contribute to Decision-Making in the Context of COVID-19 in Argentina
topic_facet Matemática
Data-driven COVID-19 response
Agent-based simulations
Prognosis models
Effective reproductive number
Buenos Aires
description 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 academic institutions in the country, decided to put forth our experience and knowledge in data science and associated disciplines, towards helping with decision-making in the context of COVID-19. Data analysis within Argentina and other countries, scenario simulation, as well as rapid response projects- mainly in the province of Buenos Aires- were all within the scope of our aim. This review article outlines some of the activities carried out by our team throughout these pandemic months.
format Articulo
Articulo
author Arrar, Mehrnoosh
Belloli, Laouen
Bianco, Ana Maria
Boechi, Leonardo
Castro, Rodrigo
Durán, Guillermo
Etchenique, Roberto
Fernandez, Natalia Brenda
Ferrer, Luciana
Garbervetsky, Diego
Goldsmit, Rodrigo
Grillo Vidal, Carolina
Kamienkowski, Juan E.
Laciana, Pablo
Lanzarotti, Esteban
Lozano, Mario
Maidana, Rodrigo
Mendiluce, Mauricio
Minoldo, Sol
Pecker-Marcosig, Ezequiel
Pepino, Leonardo
Puerta, Armando Ezequiel
Quiroga, Rodrigo
Solovey, Guillermo
Valdora, Marina
Zapatero, Mariano
author_facet Arrar, Mehrnoosh
Belloli, Laouen
Bianco, Ana Maria
Boechi, Leonardo
Castro, Rodrigo
Durán, Guillermo
Etchenique, Roberto
Fernandez, Natalia Brenda
Ferrer, Luciana
Garbervetsky, Diego
Goldsmit, Rodrigo
Grillo Vidal, Carolina
Kamienkowski, Juan E.
Laciana, Pablo
Lanzarotti, Esteban
Lozano, Mario
Maidana, Rodrigo
Mendiluce, Mauricio
Minoldo, Sol
Pecker-Marcosig, Ezequiel
Pepino, Leonardo
Puerta, Armando Ezequiel
Quiroga, Rodrigo
Solovey, Guillermo
Valdora, Marina
Zapatero, Mariano
author_sort Arrar, Mehrnoosh
title Mathematical and Computational Initiatives from the University of Buenos Aires to Contribute to Decision-Making in the Context of COVID-19 in Argentina
title_short Mathematical and Computational Initiatives from the University of Buenos Aires to Contribute to Decision-Making in the Context of COVID-19 in Argentina
title_full Mathematical and Computational Initiatives from the University of Buenos Aires to Contribute to Decision-Making in the Context of COVID-19 in Argentina
title_fullStr Mathematical and Computational Initiatives from the University of Buenos Aires to Contribute to Decision-Making in the Context of COVID-19 in Argentina
title_full_unstemmed Mathematical and Computational Initiatives from the University of Buenos Aires to Contribute to Decision-Making in the Context of COVID-19 in Argentina
title_sort mathematical and computational initiatives from the university of buenos aires to contribute to decision-making in the context of covid-19 in argentina
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/137753
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