Results 31 to 40 of about 392,335 (195)

Stochastic SEIR Model with Two Infectious Classes Under Environmental Variability: Well-Posedness, Extinction Persistence Thresholds, and Milstein Based 3D Simulations

open access: diamondContemporary Mathematics
We study a stochastic Susceptible-Exposed-Infectious-Recovered (SEIR) model with two infectious classes that capture behavioral heterogeneity: a primary (lower-compliance) class Iu and a secondary (higher-compliance) class Iu reached at rate σ ...
Shah Hussain   +3 more
semanticscholar   +3 more sources

Stochastic SEIR Model for Simulating Epidemic Dynamics in Limited Populations

open access: yesSwitch : Jurnal Sains dan Teknologi Informasi
The stochastic SEIR model offers an innovative approach to understanding the spread of infectious diseases, particularly tuberculosis, in limited populations.
Agung Pratama, Danu Ariandi
semanticscholar   +2 more sources

An updated estimation approach for SEIR models with stochastic perturbations: Application to COVID-19 data in Bogotá.

open access: goldPLoS ONE, 2023
This paper studies the updated estimation method for estimating the transmission rate changes over time. The models for the population dynamics under SEIR epidemic models with stochastic perturbations are analysed the dynamics of the COVID-19 pandemic in
Andrés Ríos-Gutiérrez   +2 more
doaj   +4 more sources

Stochastic Approach in Epidemic Modeling Using the SEIRS

open access: diamondEuropean Journal of Pure and Applied Mathematics, 2019
The study of infectious diseases represents one of the oldest and richest sectors of biomathematics. The transmission dynamics of these diseases are still a major problem in mathematical epidemiology. In this work, we propose a stochastic version of a SEIRS epidemiological model for infectious diseases evolving in a random environment for the ...
Hay Yoba Talkibing   +2 more
openalex   +4 more sources

Parameter identification for a stochastic SEIRS epidemic model: case study influenza [PDF]

open access: bronzeJournal of Mathematical Biology, 2019
A recent parameter identification technique, the local lagged adapted generalized method of moments, is used to identify the time-dependent disease transmission rate and time-dependent noise for the stochastic susceptible, exposed, infectious, temporarily immune, susceptible disease model (SEIRS) with vital rates. The stochasticity appears in the model
Anna Mummert, Olusegun Michael Otunuga
openalex   +3 more sources

Analyzing measles spread through a Markovian SEIR model [PDF]

open access: yesScientific Reports
In this study, we studied the spread of measles using the SEIR (Susceptible-Exposed-Infectious-Recovered) epidemic model, which we treated as a Markov chain.
Yousef Alnafisah, M. A. Sohaly
doaj   +2 more sources

Stability of an SEIR epidemic model with independent stochastic perturbations [PDF]

open access: yesPhysica A: Statistical Mechanics and its Applications, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +4 more sources

Stochastic analysis of COVID-19 by a SEIR model with Lévy noise.

open access: yesChaos: An Interdisciplinary Journal of Nonlinear Science, 2021
We propose a Lévy noise-driven susceptible-exposed-infected-recovered model incorporating media coverage to analyze the outbreak of COVID-19. We conduct a theoretical analysis of the stochastic model by the suitable Lyapunov function, including the ...
Yamin Ding, Yuxuan Fu, Yanmei Kang
semanticscholar   +3 more sources

Distributions of prevalence and daily new cases in a stochastic linear SEIR model.

open access: hybridMathematical Biosciences
Manting Wang   +3 more
semanticscholar   +3 more sources

Regression model for the reported infected during emerging pandemics under the stochastic SEIR

open access: yesComputational and Applied Mathematics, 2023
The COVID-19 pandemic revealed the necessity of measuring the statistical relationship between the transmission rate of epidemic diseases and the social/behavioral, logistical, and economic variables of the affected region.
I. Silva   +3 more
semanticscholar   +2 more sources

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