Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Marco Mancastroppa"'
Publikováno v:
EPJ Data Science, Vol 13, Iss 1, Pp 1-31 (2024)
Abstract The richness of many complex systems stems from the interactions among their components. The higher-order nature of these interactions, involving many units at once, and their temporal dynamics constitute crucial properties that shape the be
Externí odkaz:
https://doaj.org/article/5ce3ba96afe44e3dbecf021cad530aab
Publikováno v:
Physical Review Research, Vol 6, Iss 3, p 033159 (2024)
Human behavior strongly influences the spread of infectious diseases: understanding the interplay between epidemic dynamics and adaptive behaviors is essential to improve response strategies to epidemics, with the goal of containing the epidemic whil
Externí odkaz:
https://doaj.org/article/9ac808d783824b72898c7f8dd9375a52
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Going beyond networks, to include higher-order interactions of arbitrary sizes, is a major step to better describe complex systems. In the resulting hypergraph representation, tools to identify structures and central nodes are scarce. We con
Externí odkaz:
https://doaj.org/article/85b49a5dd231452f9d0beb7d9cedf5d4
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Contact tracing for a timely isolation of potentially infected individuals can be provided manually or via digital applications. Mancastroppa et al. show that in the combination of both procedures the manual tracing is dominant and allows for better
Externí odkaz:
https://doaj.org/article/4cef804f41ca461ebb15f42dfba86254
Autor:
Francesco Pinotti, Laura Di Domenico, Ernesto Ortega, Marco Mancastroppa, Giulia Pullano, Eugenio Valdano, Pierre-Yves Boëlle, Chiara Poletto, Vittoria Colizza
Publikováno v:
PLoS Medicine, Vol 17, Iss 7, p e1003193 (2020)
BackgroundIn the early months of 2020, a novel coronavirus disease (COVID-19) spread rapidly from China across multiple countries worldwide. As of March 17, 2020, COVID-19 was officially declared a pandemic by the World Health Organization. We collec
Externí odkaz:
https://doaj.org/article/ccc9a9cff1ab445abd9b4baa45d1f41a
Publikováno v:
Nature Communications
Nature communications 12 (2021): 1919-1. doi:10.1038/s41467-021-22082-7
info:cnr-pdr/source/autori:Mancastroppa M.; Castellano C.; Vezzani A.; Burioni R./titolo:Stochastic sampling effects favor manual over digital contact tracing/doi:10.1038%2Fs41467-021-22082-7/rivista:Nature communications/anno:2021/pagina_da:1919-1/pagina_a:/intervallo_pagine:1919-1/volume:12
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Nature communications 12 (2021): 1919-1. doi:10.1038/s41467-021-22082-7
info:cnr-pdr/source/autori:Mancastroppa M.; Castellano C.; Vezzani A.; Burioni R./titolo:Stochastic sampling effects favor manual over digital contact tracing/doi:10.1038%2Fs41467-021-22082-7/rivista:Nature communications/anno:2021/pagina_da:1919-1/pagina_a:/intervallo_pagine:1919-1/volume:12
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Isolation of symptomatic individuals, tracing and testing of their nonsymptomatic contacts are fundamental strategies for mitigating the current COVID-19 pandemic. The breaking of contagion chains relies on two complementary strategies: manual recons
Publikováno v:
Physical review. E (Online) 102 (2020): 020301-1. doi:10.1103/PhysRevE.102.020301
info:cnr-pdr/source/autori:Marco Mancastroppa, Raffaella Burioni, Vittoria Colizza and Alessandro Vezzani/titolo:Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks/doi:10.1103%2FPhysRevE.102.020301/rivista:Physical review. E (Online)/anno:2020/pagina_da:020301-1/pagina_a:/intervallo_pagine:020301-1/volume:102
info:cnr-pdr/source/autori:Marco Mancastroppa, Raffaella Burioni, Vittoria Colizza and Alessandro Vezzani/titolo:Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks/doi:10.1103%2FPhysRevE.102.020301/rivista:Physical review. E (Online)/anno:2020/pagina_da:020301-1/pagina_a:/intervallo_pagine:020301-1/volume:102
We consider an epidemic process on adaptive activity-driven temporal networks, with adaptive behaviour modelled as a change in activity and attractiveness due to infection. By using a mean-field approach, we derive an analytical estimate of the epide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::308b086e64d6e31ce8703d841ad707e7
Publikováno v:
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Journal of statistical mechanics 2019 (2019): 053502-1. doi:10.1088/1742-5468/ab16c4
info:cnr-pdr/source/autori:Mancastroppa, Marco; Vezzani, Alessandro; Munoz, Miguel A.; Burioni, Raffaella/titolo:Burstiness in activity-driven networks and the epidemic threshold/doi:10.1088%2F1742-5468%2Fab16c4/rivista:Journal of statistical mechanics/anno:2019/pagina_da:053502-1/pagina_a:/intervallo_pagine:053502-1/volume:2019
instname
Journal of statistical mechanics 2019 (2019): 053502-1. doi:10.1088/1742-5468/ab16c4
info:cnr-pdr/source/autori:Mancastroppa, Marco; Vezzani, Alessandro; Munoz, Miguel A.; Burioni, Raffaella/titolo:Burstiness in activity-driven networks and the epidemic threshold/doi:10.1088%2F1742-5468%2Fab16c4/rivista:Journal of statistical mechanics/anno:2019/pagina_da:053502-1/pagina_a:/intervallo_pagine:053502-1/volume:2019
We study the effect of heterogeneous temporal activations on epidemic spreading in temporal networks. We focus on the susceptible-infected-susceptible (SIS) model on activity-driven networks with burstiness. By using an activity-based mean-field appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69624e1dbfc2ad43a36c767ced74dd5a
http://arxiv.org/abs/1903.11308
http://arxiv.org/abs/1903.11308
Publikováno v:
Journal of Statistical Mechanics: Theory & Experiment; May2019, Vol. 2019 Issue 5, p1-1, 1p
Autor:
Laura Di Domenico, Chiara Poletto, Pierre-Yves Boëlle, Marco Mancastroppa, Ernesto Ortega, Vittoria Colizza, Eugenio Valdano, Francesco Pinotti, Giulia Pullano
Publikováno v:
medRxiv
288 cases have been confirmed out of China from January 3 to February 13, 2020. We collected and synthesized all available information on these cases from official sources and media. We analyzed importations that were successfully isolated and those
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa937c75ff0df8c510512619db6d72d5