Results 81 to 90 of about 392,335 (195)
Dynamic Nash game for linear stochastic control with Markov Jump in Mpox
Mpox, as a re-emerging infectious disease, poses considerable challenges due to uncertain transmission dynamics and sudden outbreak shocks, which cannot be adequately addressed by classical deterministic control models.
Md. Abdullah Bin Masud +3 more
doaj +1 more source
Stochastic Partial Differential Equation SEIRS Epidemic Models: Well-posedness and Longtime Behavior
The study of epidemic models plays an important role in mathematical epidemiology. There are many researches on epidemic models using ordinary differential equations, partial differential equations or stochastic differential equations. In contrast to these researches, our work analyzes the SEIRS (Susceptible-Exposed-Infected-Recovered-Susceptible ...
Li, Yuqi, Zhang, Lihua
openaire +2 more sources
ABSTRACT Unarguably, malware and their variants have metamorphosed into objects of attack and cyber warfare. These issues have directed research focus to modeling infrastructural settings and infection scenarios, analyzing propagation mechanisms, and conducting studies that highlight optimized remedial measures.
Chukwunonso Henry Nwokoye
wiley +1 more source
Estimating the instantaneous reproduction number (Rt) by using particle filter
Background: Monitoring the transmission of coronavirus disease 2019 (COVID-19) requires accurate estimation of the effective reproduction number (Rt). However, existing methods for calculating Rt may yield biased estimates if important real-world factors,
Yong Sul Won +3 more
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Parametric Study of a Stochastic SEIR Model for a COVID-19 Post-Pandemic Scenario
Despite the end of the COVID-19 pandemic was decreed by the WHO, this disease has not disappeared and continues to claim victims. Thus, it remains important to follow up, monitor, and project its evolution in the short term. To that end, mathematical models are a precious tool.
Carlos Balsa +3 more
openaire +2 more sources
This paper proposes a novel malware propagation model based on epidemiological theory, specifically tailored for hierarchically protected wireless sensor networks (WSNs). We classify nodes into strongly and weakly protected categories and establish a four‐state propagation dynamics model (susceptible, exposed, infected, and recovered) to simulate ...
Xuejin Zhu, Nan Fu
wiley +1 more source
Malaria remains a major public health concern in Kenya, where changing climatic conditions, insecticide resistance, and mosquito behavioral adaptations continue to challenge control efforts. This study develops and analyzes a climate‐sensitive malaria transmission model that incorporates mosquito behavior, insecticide resistance, and vector–human ...
Lorna Chepkemoi +7 more
wiley +1 more source
Mathematical Models and Their Applications in Understanding the Dynamics of Infectious Diseases
Infectious diseases pose a persistent global challenge due to their complex transmission dynamics influenced by pathogen evolution, contact patterns, and host interactions. This study reviews how mathematical models have been developed to represent and predict disease spread using differential equations and network frameworks. Compartmental models such
Shekhar Pokhrel +3 more
wiley +1 more source
This study investigates the complex dynamics of a predator–prey system governed by the classical Lotka–Volterra model incorporating a Holling‐type III. To capture environmental variability, the prey’s carrying capacity is modeled as a periodic function, introducing a time‐dependent forcing into the system.
Ali Sarrah +4 more
wiley +1 more source
Discrete stochastic analogs of Erlang epidemic models
Erlang differential equation models of epidemic processes provide more realistic disease-class transition dynamics from susceptible (S) to exposed (E) to infectious (I) and removed (R) categories than the ubiquitous SEIR model. The latter is itself is at
Wayne M. Getz, Eric R. Dougherty
doaj +1 more source

