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Alberto Aleta
Researcher at Institute for Scientific Interchange
Publications - 54
Citations - 1806
Alberto Aleta is an academic researcher from Institute for Scientific Interchange. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 13, co-authored 41 publications receiving 1092 citations. Previous affiliations of Alberto Aleta include University of Zaragoza.
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Journal ArticleDOI
Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19.
Alberto Aleta,David Martin-Corral,Ana Pastore y Piontti,Marco Ajelli,Marco Ajelli,Maria Litvinova,Matteo Chinazzi,Natalie E. Dean,M. Elizabeth Halloran,M. Elizabeth Halloran,Ira M. Longini,Stefano Merler,Alex Pentland,Alessandro Vespignani,Esteban Moro,Esteban Moro,Yamir Moreno +16 more
TL;DR: An agent-based model of SARS-CoV-2 transmission shows that testing, contact tracing and household quarantine could keep new COVID-19 waves under control while allowing the reopening of the economy with minimal social-distancing interventions.
Journal ArticleDOI
Measurability of the epidemic reproduction number in data-driven contact networks
Quan-Hui Liu,Marco Ajelli,Alberto Aleta,Stefano Merler,Yamir Moreno,Yamir Moreno,Alessandro Vespignani +6 more
TL;DR: It is found that the classical concept of the basic reproduction number is untenable in realistic populations, and it does not provide any conceptual understanding of the epidemic evolution, and evidence is provided that methodologies aimed at estimating the instantaneous reproduction number can operationally be used to characterize the correct epidemic dynamics from incidence data.
Journal ArticleDOI
Multilayer Networks in a Nutshell
TL;DR: An overview of the basic methodology used to describe multilayer systems as well as of some representative dynamical processes that take place on top of them are provided.
Posted ContentDOI
Modeling the impact of social distancing, testing, contact tracing and household quarantine on second-wave scenarios of the COVID-19 epidemic
Alberto Aleta,David Martin-Corral,Ana Pastore y Piontti,Marco Ajelli,Marco Ajelli,Maria Litvinova,Matteo Chinazzi,Natalie E. Dean,M. Elizabeth Halloran,M. Elizabeth Halloran,Ira M. Longini,Stefano Merler,Alex Pentland,Alessandro Vespignani,Esteban Moro,Yamir Moreno +15 more
TL;DR: The results show that a response system based on enhanced testing and contact tracing can play a major role in relaxing social distancing interventions in the absence of herd immunity against SARS-CoV-2.
Journal ArticleDOI
Evaluation of the potential incidence of COVID-19 and effectiveness of containment measures in Spain: a data-driven approach.
TL;DR: The scenarios evaluated here through data-driven simulations indicate that measures aimed at reducing individuals’ flow are much less effective than others intended for early case identification and isolation, and resources should be directed towards detecting as many and as fast as possible the new cases and isolate them.