Signal propagation in complex networks
Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …
going viral, promotes trust and facilitates moral behavior in social groups, enables the …
A time-varying SIRD model for the COVID-19 contagion in Italy
The purpose of this work is to give a contribution to the understanding of the COVID-19
contagion in Italy. To this end, we developed a modified Susceptible-Infected-Recovered …
contagion in Italy. To this end, we developed a modified Susceptible-Infected-Recovered …
Analysis, prediction, and control of epidemics: A survey from scalar to dynamic network models
During the ongoing COVID-19 pandemic, mathematical models of epidemic spreading have
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …
Characterisation of omicron variant during COVID-19 pandemic and the impact of vaccination, transmission rate, mortality, and reinfection in South Africa, Germany …
C Ribeiro Xavier, R Sachetto Oliveira… - BioTech, 2022 - mdpi.com
Several variants of SARS-CoV-2 have been identified in different parts of the world,
including Gamma, detected in Brazil, Delta, detected in India, and the recent Omicron …
including Gamma, detected in Brazil, Delta, detected in India, and the recent Omicron …
Use of a modified SIRD model to analyze COVID-19 data
Since the starting of the year 2020, the whole world is facing a challenge due to an outbreak
of an unprecedented COVID-19 pandemic owing to a novel coronavirus. Here, a modified …
of an unprecedented COVID-19 pandemic owing to a novel coronavirus. Here, a modified …
Deep learning forecasting using time-varying parameters of the SIRD model for Covid-19
A Bousquet, WH Conrad, SO Sadat, N Vardanyan… - Scientific Reports, 2022 - nature.com
Accurate epidemiological models are necessary for governments, organizations, and
individuals to respond appropriately to the ongoing novel coronavirus pandemic. One …
individuals to respond appropriately to the ongoing novel coronavirus pandemic. One …
Effects of asymptomatic infection and self-initiated awareness on the coupled disease-awareness dynamics in multiplex networks
There has been growing interest in exploring the coupled epidemic-awareness dynamics
within the multiplex network framework. Nevertheless, two important factors are not …
within the multiplex network framework. Nevertheless, two important factors are not …
Epidemic threshold in temporal multiplex networks with individual layer preference
Many efforts have been devoted to understanding how human behaviors induced by the
awareness of disease influence the epidemic dynamics in multiplex networks. The …
awareness of disease influence the epidemic dynamics in multiplex networks. The …
Impacts of game-theoretic activation on epidemic spread over dynamical networks
We investigate the evolution of epidemics over dynamical networks when nodes choose to
interact with others in a selfish and decentralized manner. Specifically, we analyze the …
interact with others in a selfish and decentralized manner. Specifically, we analyze the …
On evolutionary vaccination game in activity-driven networks
Since human face-to-face communications change over time, their perceived probabilities
associated with uncertain outcomes usually present a nonlinear fashion in reality. This …
associated with uncertain outcomes usually present a nonlinear fashion in reality. This …