Results 41 to 50 of about 392,335 (195)
Stochastic SEIR Model for Measles with Differential Transformation Method (DTM)
International Journal of Computer Applications, 2022 Hammad Khalid +2 more
semanticscholar +2 more sources
Model fit vs. predictive reliability: a case study of the 1978 influenza outbreak [PDF]
Scientific ReportsThe 1978 A/H1N1 influenza outbreak in a boarding school in northern England provides a widely used dataset for epidemiological modelling. However, its focus on recovery dynamics rather than transmission presents challenges for standard SIR (SEIR ...
Denis Tverskoi, Grzegorz A. Rempala
doaj +2 more sources
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology [PDF]
Advanced Science, Volume 12, Issue 35, September 18, 2025.A systematic computational framework is developed for practical identifiability analysis in biological models. The framework establishes a rigorous definition, introduces efficient coordinate‐based identifiability metrics, and proposes novel regularization strategies.
Shun Wang, Wenrui Hao
wiley +2 more sources
AIMS MathematicsIn this paper, we represented the optimal control and dynamics of a stochastic SEIR epidemic model with nonlinear incidence and treatment rate. By using the Lyapunov function method, the existence and uniqueness of the global positive solution of the ...
Jinji Du, Chuangliang Qin, Yuanxian Hui
semanticscholar +2 more sources
Estimation of the exponential growth rate of an epidemic [PDF]
Infectious Disease ModellingAccurate estimation of the initial growth rate of an epidemic is critical for assessing transmissibility and guiding early interventions. Standard regression-based methods, such as negative binomial regression, often rely on independence assumptions that
Manting Wang +3 more
doaj +2 more sources
SEIR Filter: A Stochastic Model of Epidemics [PDF]
, 2021 AbstractThere are many epidemiological models at hand to cope with the present pandemic; it is, however, difficult to calibrate these models when data are noisy, partial or observed only indirectly. It is also difficult to distinguish relevant data from noise, and to distinguish the impact of individual determinants of the epidemic.In mathematical ...
Martin Šmíd +6 more
openaire +1 more source
Modifying the network-based stochastic SEIR model to account for quarantine: an application to COVID-19 [PDF]
Epidemiologic Methods, 2020 Objectives: Diseases such as SARS-CoV-2 have novel features that require modifications to the standard network-based stochastic SEIR model. In particular, we introduce modifications to this model to account for the potential changes in behavior patterns ...
Chris Groendyke, Adam Combs
semanticscholar +1 more source
Effect of two vaccine doses in the SEIR epidemic model using a stochastic cellular automaton
Physica A: Statistical Mechanics and Its Applications, 2022 Enrique C. Gabrick +8 more
openalex +3 more sources
Informatics in Medicine Unlocked, 2022 The current work aims to design a computational framework based on artificial neural networks (ANNs) and the optimization procedures of global and local search approach to solve the nonlinear dynamics of the spread of COVID-19, i.e., the SEIR-NDC model ...
Thongchai Botmart +6 more
doaj +1 more source
Computational simulation of the COVID-19 epidemic with the SEIR stochastic model [PDF]
Computational and Mathematical Organization Theory, 2021 A small number of individuals infected within a community can lead to the rapid spread of the disease throughout that community, leading to an epidemic outbreak. This is even more true for highly contagious diseases such as COVID-19, known to be caused by the new coronavirus SARS-CoV-2.
Balsa, Carlos +3 more
openaire +3 more sources