Statistical inference links data and theory in network science
The number of network science applications across many different fields has been rapidly
increasing. Surprisingly, the development of theory and domain-specific applications often …
increasing. Surprisingly, the development of theory and domain-specific applications often …
[HTML][HTML] Risk of infection and transmission of SARS-CoV-2 among children and adolescents in households, communities and educational settings: A systematic review …
Background There is uncertainty with respect to SARS-CoV-2 transmission in children (0-19
years) with controversy on effectiveness of school-closures in controlling the pandemic. It is …
years) with controversy on effectiveness of school-closures in controlling the pandemic. It is …
Contact patterns in a high school: a comparison between data collected using wearable sensors, contact diaries and friendship surveys
R Mastrandrea, J Fournet, A Barrat - PloS one, 2015 - journals.plos.org
Given their importance in shaping social networks and determining how information or
transmissible diseases propagate in a population, interactions between individuals are the …
transmissible diseases propagate in a population, interactions between individuals are the …
Inference of hyperedges and overlapping communities in hypergraphs
M Contisciani, F Battiston, C De Bacco - Nature communications, 2022 - nature.com
Hypergraphs, encoding structured interactions among any number of system units, have
recently proven a successful tool to describe many real-world biological and social …
recently proven a successful tool to describe many real-world biological and social …
Simulating the effect of school closure during COVID-19 outbreaks in Ontario, Canada
E Abdollahi, M Haworth-Brockman, Y Keynan… - BMC medicine, 2020 - Springer
Abstract Background The province of Ontario, Canada, has instituted indefinite school
closures (SC) as well as other social distancing measures to mitigate the impact of the novel …
closures (SC) as well as other social distancing measures to mitigate the impact of the novel …
The effectiveness of backward contact tracing in networks
Effective control of an epidemic relies on the rapid discovery and isolation of infected
individuals. Because many infectious diseases spread through interaction, contact tracing is …
individuals. Because many infectious diseases spread through interaction, contact tracing is …
Reactive school closure weakens the network of social interactions and reduces the spread of influenza
School-closure policies are considered one of the most promising nonpharmaceutical
interventions for mitigating seasonal and pandemic influenza. However, their effectiveness …
interventions for mitigating seasonal and pandemic influenza. However, their effectiveness …
Data on face-to-face contacts in an office building suggest a low-cost vaccination strategy based on community linkers
Empirical data on contacts between individuals in social contexts play an important role in
providing information for models describing human behavior and how epidemics spread in …
providing information for models describing human behavior and how epidemics spread in …
Modelling safe protocols for reopening schools during the COVID-19 pandemic in France
As countries in Europe implement strategies to control the COVID-19 pandemic, different
options are chosen regarding schools. Through a stochastic age-structured transmission …
options are chosen regarding schools. Through a stochastic age-structured transmission …
Full reconstruction of simplicial complexes from binary contagion and Ising data
Previous efforts on data-based reconstruction focused on complex networks with pairwise or
two-body interactions. There is a growing interest in networks with higher-order or many …
two-body interactions. There is a growing interest in networks with higher-order or many …