[eng] Most epidemic spreading models assume memoryless systems and statistically independent infections. Nevertheless, many real-life cases are manifestly time-sensitive and show strong correlations. We propose an alternative microscopic description of the susceptible-infected-susceptible model that accounts for cooperation, and perform simulations on degree-regular networks. Our results show a large variety of features, including hysteresis e↵ects and loss of universality, and call for further research
The role of cooperative effects (i.e. synergy) in transmission of infection is investigated analytic...
We study the standard SIS model of epidemic spreading on networks where individuals have a fluctuati...
We study by analytical methods and large scale simulations a dynamical model for the spreading of ep...
Most epidemic spreading models assume memoryless systems and statistically independent infections. N...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Any: 2015, Tutora: ...
We propose a fully cooperative coinfection model in which singly infected individuals are more likel...
We investigate the effects of cooperativity between contagion processes that spread and persist in a...
We study the spreading of two mutually cooperative diseases on different network topologies, and wit...
The compartmental models used to study epidemic spreading often assume the same susceptibility for a...
Abstract. We present a detailed analytical and numerical study for the spreading of infections with ...
In recent years the research community has accumulated overwhelming evidence for the emergence of co...
While disease propagation is a main focus of network science, its coevolution with treatment has yet...
Abstract Many models developed to forecast and attempt to understand the COVID-19 pandemic are highl...
Advances in the fields of mathematics, physics, epidemiology, and computing have led to an incredibl...
We study the standard SIS model of epidemic spreading on networks where individuals have a fluctuati...
The role of cooperative effects (i.e. synergy) in transmission of infection is investigated analytic...
We study the standard SIS model of epidemic spreading on networks where individuals have a fluctuati...
We study by analytical methods and large scale simulations a dynamical model for the spreading of ep...
Most epidemic spreading models assume memoryless systems and statistically independent infections. N...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Any: 2015, Tutora: ...
We propose a fully cooperative coinfection model in which singly infected individuals are more likel...
We investigate the effects of cooperativity between contagion processes that spread and persist in a...
We study the spreading of two mutually cooperative diseases on different network topologies, and wit...
The compartmental models used to study epidemic spreading often assume the same susceptibility for a...
Abstract. We present a detailed analytical and numerical study for the spreading of infections with ...
In recent years the research community has accumulated overwhelming evidence for the emergence of co...
While disease propagation is a main focus of network science, its coevolution with treatment has yet...
Abstract Many models developed to forecast and attempt to understand the COVID-19 pandemic are highl...
Advances in the fields of mathematics, physics, epidemiology, and computing have led to an incredibl...
We study the standard SIS model of epidemic spreading on networks where individuals have a fluctuati...
The role of cooperative effects (i.e. synergy) in transmission of infection is investigated analytic...
We study the standard SIS model of epidemic spreading on networks where individuals have a fluctuati...
We study by analytical methods and large scale simulations a dynamical model for the spreading of ep...