Global ETD Search

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Showing 1 to 7 of 7 for “"Epidemiology -- Mathematical models."”.

  1. Spatial spread of infectious diseases

    … thesis we do a comparative study of diffusive models with non-diffusive models, looking at the effect movements in the form of simple diffusion have on the spreading of infectious diseases. This study is undertaken within the context of the SI and SIR models, two of the most fundamental models

    unm Repository record for Spatial spread of infectious diseases (opens in a new tab)

  2. Unified Mathematical Modeling, Analysis and Simulation of COVID-19 and Ecological Processes

    … and reinfection dynamics. By fitting these models to epidemiological data from the United States and the United Kingdom, we conduct both mathematical analyses and numerical simulations to better understand the factors driving long COVID prevalence and the inter-strain dynamics of COVID-19 …

    utc Repository record for Unified Mathematical Modeling, Analysis and Simulation of COVID-19 and Ecological Processes (opens in a new tab)

  3. Understanding and managing Frogeye Leaf Spot through network-based modeling in soybean

    … losses of 30 - 60%. Traditional mass-action models assume homogeneous mixing, which rarely holds in real fields and limits their ability to gain insights into FLS management. To address this, we developed a network-based model that incorporates real-field structure to improve FLS management …

    utc Repository record for Understanding and managing Frogeye Leaf Spot through network-based modeling in soybean (opens in a new tab)

  4. Mathematical model for tripledemic disease (COVID-19, RSV, and Influenza)

    … SusceptibleExposed-Infectious-Recovered (SEIR) mathematical models to estimate transmission rates, compute the basic reproduction number, forecast infections, and analyze seasonal variations and comparative transmission dynamics among the three diseases. Our models are applied to seasonal weekly …

    utc Repository record for Mathematical model for tripledemic disease (COVID-19, RSV, and Influenza) (opens in a new tab)

  5. Bayesian Probabilistic Reasoning Applied to Mathematical Epidemiology for Predictive Spatiotemporal Analysis of Infectious Diseases

    … subgroups. A methodology using hidden Markov models is introduced that enables to investigate the impact of social behavioral interactions in the incidence and prevalence of infectious diseases. The methodology is presented in the context of simulated disease outbreak data for influenza. …

    unt Repository record for Bayesian Probabilistic Reasoning Applied to Mathematical Epidemiology for Predictive Spatiotemporal Analysis of Infectious Diseases (opens in a new tab)

  6. A mathematical model to describe haemophilus influenzae type B within Western Australia

    … estimate certain parameters. The deterministic mathematical models within the thesis are extensions of existing ideas tailored to suit the needs of this thesis. Chapter one is a basic introduction to the pursuit of modelling infectious diseases with a brief description of basic epidemiology

    edithcowan Repository record for A mathematical model to describe haemophilus influenzae type B within Western Australia (opens in a new tab)