Mathematical and computational initiatives from the University of Buenos Aires to contribute to decision-making in the context of COVID-19 in Argentina

ARRAR, MEHRNOOSH; BELLOLI, LAOUEN MAYAL LOUAN; BIANCO, ANA MARIA; BOECHI, LEONARDO; CASTRO, RODRIGO DANIEL; DURAN, GUILLERMO ALFREDO; ETCHENIQUE, ROBERTO ARGENTINO; GOLDSMIT, RODRIGO; MINOLDO, SOL; QUIROGA, RODRIGO; SOLOVEY, GUILLERMO; VALDORA, MARINA; ZAPATERO,MARIANO

Science Reviews From the End of the World

Centro de Estudios sobre Ciencia, Desarrollo y Educación Superior

Año: 2021 vol. 2 p. 7 - 7

2683-9288

he COVID-19 pandemic, caused by the infection of the SARS-CoV-2 virus, has caused over one million deathsworldwide during 2020 (World Health Organization, n.d.). Thousands of academic groups around the world have beenworking on issues related to the pandemic since the beginning of 2020; the group of Neil Ferguson at Imperial CollegeLondon being of the most cited (?Report 1 - Estimating the Potential Total Number of Novel Coronavirus (2019-nCoV)Cases in Wuhan City, China? n.d.)) along with the Franco-Spanish engineer Tomás Pueyo, with his renowned anecdote ofthe hammer and dance as key tools to face COVID-19 (Pueyo 2020).Due to the great difficulty that health organizations have faced in finding effective treatments and vaccines, and thuscontaining the progression of the pandemic, new approaches have emerged that seek to use information (previouslyexisting or generated during the pandemic) to help the decision-making process of institutional stakeholders. These aremultidisciplinary app