Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Giacomo Rapisardi"'
1
Akademický článek
Joint Analysis of the Epidemic Evolution and Human Mobility During the First Wave of COVID-19 in Spain: Retrospective Study
Autor: Benjamin Steinegger, Clara Granell, Giacomo Rapisardi, Sergio Gómez, Joan Matamalas, David Soriano-Paños, Jesús Gómez-Gardeñes, Alex Arenas
Publikováno v: JMIR Public Health and Surveillance, Vol 9, p e40514 (2023)
BackgroundThe initial wave of the COVID-19 pandemic placed a tremendous strain on health care systems worldwide. To mitigate the spread of the virus, many countries implemented stringent nonpharmaceutical interventions (NPIs), which significantly alt
Externí odkaz: https://doaj.org/article/a3eb8aaeddfa4ad289b2518dab5f88ea
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2
Akademický článek
Percolation in networks with local homeostatic plasticity
Autor: Giacomo Rapisardi, Ivan Kryven, Alex Arenas
Publikováno v: Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Link damages and failures can break the functionality of the whole complex network. Inspired by biological systems that respond to damages, the authors propose a mathematical model revealing the effect of homeostatic response to damage of links to ke
Externí odkaz: https://doaj.org/article/1f8c1905883d400091edd7c802af09a2
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3
Akademický článek
Message-passing approach to epidemic tracing and mitigation with apps
Autor: Ginestra Bianconi, Hanlin Sun, Giacomo Rapisardi, Alex Arenas
Publikováno v: Physical Review Research, Vol 3, Iss 1, p L012014 (2021)
With the hit of new pandemic threats, scientific frameworks are needed to understand the unfolding of the epidemic. The use of mobile apps that are able to trace contacts is of utmost importance in order to control new infected cases and contain furt
Externí odkaz: https://doaj.org/article/fc74cb0e515e4f6da9b821650c6f8424
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4
Akademický článek
Homophily in the adoption of digital proximity tracing apps shapes the evolution of epidemics
Autor: Giulio Burgio, Benjamin Steinegger, Giacomo Rapisardi, Alex Arenas
Publikováno v: Physical Review Research, Vol 3, Iss 3, p 033128 (2021)
We study how homophily of human physical interactions affects the impact of digital proximity tracing on the epidemic evolution. Analytical and numerical results show the existence of different dynamical regimes with respect to the mixing rate betwee
Externí odkaz: https://doaj.org/article/5190b164486443fa9f2e915dbfbbf661
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5
Joint Analysis of the Epidemic Evolution and Human Mobility During the First Wave of COVID-19 in Spain: Retrospective Study (Preprint)
Autor: Benjamin Steinegger, Clara Granell, Giacomo Rapisardi, Sergio Gómez, Joan Matamalas, David Soriano-Paños, Jesús Gómez-Gardeñes, Alex Arenas
BACKGROUND The initial wave of the COVID-19 pandemic placed a tremendous strain on health care systems worldwide. To mitigate the spread of the virus, many countries implemented stringent nonpharmaceutical interventions (NPIs), which significantly al
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c043ad0344e9573c9179f2be5f78e5c
https://doi.org/10.2196/preprints.40514
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7
Retrospective study of the first wave of COVID-19 in Spain: analysis of counterfactual scenarios
Autor: Sergio Gómez, David Soriano-Paños, Alex Arenas, Giacomo Rapisardi, Benjamin Steinegger, Joan T. Matamalas, Clara Granell, Jesús Gómez-Gardeñes
One of the most important questions on the COVID-19 pandemic is ascertaining the correct timing to introduce non-pharmaceutical interventions (NPIs), based mainly on mobility restrictions, to control the rising of the daily incidence in a specific te
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2bcf6b0601e93e2e21bc4a7c795d328e
https://doi.org/10.1101/2021.02.16.21251832
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8
Message-passing approach to epidemic tracing and mitigation with apps
Autor: Alex Arenas, Giacomo Rapisardi, Ginestra Bianconi, Hanlin Sun
Publikováno v: Physical Review Research. 3
With the hit of new pandemic threats, scientific frameworks are needed to understand the unfolding of the epidemic. The use of mobile apps that are able to trace contacts is of utmost importance in order to control new infected cases and contain furt
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d900eec564d2be7055e626dcae97e90
https://doi.org/10.1103/physrevresearch.3.l012014
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9
Fragility and anomalous susceptibility of weakly interacting networks
Autor: Giacomo Rapisardi, Giulio Cimini, Alex Arenas, Guido Caldarelli
Publikováno v: Physical review. E (Online) 99 (2019). doi:10.1103/PhysRevE.99.042302
info:cnr-pdr/source/autori:Rapisardi G.; Arenas A.; Caldarelli G.; Cimini G./titolo:Fragility and anomalous susceptibility of weakly interacting networks/doi:10.1103%2FPhysRevE.99.042302/rivista:Physical review. E (Online)/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:99
Percolation is a fundamental concept that has brought new understanding of the robustness properties of complex systems. Here we consider percolation on weakly interacting networks, that is, network layers coupled together by much fewer interlinks th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89b6d72d443d47ad70ef2eb4000fdf63
http://www.scopus.com/inward/record.url?eid=2-s2.0-85064088125&partnerID=q2rCbXpz
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10
Numerical assessment of the percolation threshold using complement networks
Autor: Guido Caldarelli, Giacomo Rapisardi, Giulio Cimini
Publikováno v: 7th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2018, Cambridge, United Kingdom, 11 December 2018 through 13 December 2018
info:cnr-pdr/source/autori:Rapisardi G., Caldarelli G., Cimini G./congresso_nome:7th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2018/congresso_luogo:Cambridge, United Kingdom/congresso_data:11 December 2018 through 13 December 2018/anno:2019/pagina_da:/pagina_a:/intervallo_pagine
Studies in Computational Intelligence ISBN: 9783030054106
Models of percolation processes on networks currently assume locally tree-like structures at low densities, and are derived exactly only in the thermodynamic limit. Finite size effects and the presence of short loops in real systems however cause a d
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d7e5fe8590457aed18d0801a82bb962
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