Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Beatriz Arregui García"'
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-11 (2023)
Abstract The COVID-19 pandemic exhibits intertwined epidemic waves with anomalous fade-outs characterized by persistent low prevalence. These long-living epidemic states complicate epidemic control and challenge current modeling approaches. Here we i
Externí odkaz:
https://doaj.org/article/fb276430585a4584b8f08a292968121a
Autor:
Pierre-Yves Boëlle, Alain Barrat, Francesco Pinotti, Chiara Poletto, Livio Bioglio, Beatriz Arregui García, Jesús A. Moreno López, Vittoria Colizza, Piotr Bentkowski
Publikováno v:
Science Advances
Science Advances, American Association for the Advancement of Science (AAAS), 2021, 7 (15), pp.eabd8750. ⟨10.1126/sciadv.abd8750⟩
Digital.CSIC: Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Science Advances, 2021, 7 (15), pp.eabd8750. ⟨10.1126/sciadv.abd8750⟩
Science Advances, American Association for the Advancement of Science (AAAS), 2021, 7 (15), pp.eabd8750. ⟨10.1126/sciadv.abd8750⟩
Digital.CSIC: Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Science Advances, 2021, 7 (15), pp.eabd8750. ⟨10.1126/sciadv.abd8750⟩
The efficacy of digital contact tracing against COVID-19 epidemic is debated: smartphone penetration is limited in many countries, non-uniform across age groups, with low coverage among elderly, the most vulnerable to SARS-CoV-2. We developed an agen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f5f3416189d9d0fe2c806a00cb1f5c4
Autor:
Beatriz Arregui-García, Antonio Longa, Quintino Francesco Lotito, Sandro Meloni, Giulia Cencetti
Publikováno v:
Entropy, Vol 26, Iss 3, p 256 (2024)
The analysis of complex and time-evolving interactions, such as those within social dynamics, represents a current challenge in the science of complex systems. Temporal networks stand as a suitable tool for schematizing such systems, encoding all the
Externí odkaz:
https://doaj.org/article/ceaefbf1b07647b093546f49701efe83