Effects of the COVID-19 pandemic in higher education: A data driven analysis for the knowledge acquisition process

Autor: Fátima Velásquez-Rojas, Jesus E. Fajardo, Daniela Zacharías, María Fabiana Laguna

Publikováno v: PloS one. 17(9)

The COVID-19 pandemic abruptly changed the classroom context and presented enormous challenges for all actors in the educational process, who had to overcome multiple difficulties and incorporate new strategies and tools to construct new knowledge. I

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bf145f34bbf2aaf169bfa0f57d49e7c
https://pubmed.ncbi.nlm.nih.gov/36070306

Disease and information spreading at different speeds in multiplex networks

Autor: Federico Vazquez, Francisco A. Rodrigues, Paulo Cesar Ventura, Colm Connaughton, Yamir Moreno, Fátima Velásquez-Rojas

Publikováno v: Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname

Nowadays, one of the challenges we face when carrying out modeling of epidemic spreading is to develop methods to control disease transmission. In this article we study how the spreading of knowledge of a disease affects the propagation of that disea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2ab9ca88383fbd03adf1955232b11ad
http://zaguan.unizar.es/record/96154

Interacting opinion and disease dynamics in multiplex networks: discontinuous phase transition and non-monotonic consensus times

Autor: Fátima Velásquez-Rojas, Federico Vazquez

Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Physical Review. E

Opinion formation and disease spreading are among the most studied dynamical processes on complex networks. In real societies, it is expected that these two processes depend on and affect each other. However, little is known about the effects of opin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01740e1d8efa7250c2b7e2b939eb211e
http://arxiv.org/abs/1612.01003