Results 11 to 20 of about 14,206,160 (302)
A stochastic differential equation SIS epidemic model [PDF]
In this paper we extend the classical susceptible-infected-susceptible epidemic model from a deterministic framework to a stochastic one and formulate it as a stochastic differential equation (SDE) for the number of infectious individuals $I(t)$. We then
Hu, L. +4 more
core +4 more sources
Parameter estimation for the stochastic SIS epidemic model [PDF]
In this paper we estimate the parameters in the stochastic SIS epidemic model by using pseudo-maximum likelihood estimation (pseudo-MLE) and least squares estimation.
Greenhalgh, David +3 more
core +4 more sources
Supply Chain Risk Diffusion in Partially Mapping Double-Layer Hypernetworks
The impact of COVID-19 is global, and uncertain information will affect product quality and worker efficiency in the complex supply chain network, thus bringing risks.
Ping Yu +3 more
doaj +1 more source
A process of rumour scotching on finite populations [PDF]
Rumour spreading is a ubiquitous phenomenon in social and technological networks. Traditional models consider that the rumour is propagated by pairwise interactions between spreaders and ignorants.
Guilherme Ferraz de Arruda +3 more
doaj +1 more source
Impact of war on COVID-19 pandemic in Ukraine: the simulation study
The COVID-19 pandemic has posed a challenge to public health systems worldwide. As of March 2022, almost 500 million cases have been reported worldwide. More than 6.2 million people died.
Dmytro Chumachenko +3 more
doaj +1 more source
A dynamic microsimulation model for epidemics [PDF]
Funder: The Alan Turing ...
Fiona Spooner +15 more
openaire +4 more sources
Modeling Vaccine Efficacy for COVID-19 Outbreak in New York City
In this article we study the efficacy of vaccination in epidemiological reconstructions of COVID-19 epidemics from reported cases data. Given an epidemiological model, we developed in previous studies a method that allowed the computation of an ...
Jacques Demongeot +3 more
doaj +1 more source
Predictive model of COVID-19 epidemic process based on neural network
The COVID-19 pandemic, which has been going on for almost three years, has shown that public health systems are not ready for such a challenge. Measures taken by governments in the healthcare sector in the context of a sharp increase in the pressure on ...
Serhii Krivtsov +3 more
doaj +1 more source
Integrating stochasticity and network structure into an epidemic model [PDF]
While the foundations of modern epidemiology are based upon deterministic models with homogeneous mixing, it is being increasingly realized that both spatial structure and stochasticity play major roles in shaping epidemic dynamics.
Dangerfield, C. E. +4 more
core +1 more source
Dynamics of Fractional-Order Epidemic Models with General Nonlinear Incidence Rate and Time-Delay
In this paper, we study the dynamics of a fractional-order epidemic model with general nonlinear incidence rate functionals and time-delay. We investigate the local and global stability of the steady-states.
Ardak Kashkynbayev, Fathalla A. Rihan
doaj +1 more source

