Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 25 for “"epidemic model"”.
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An Epidemic Model Structured By The Time Since Last Infection
<p>Epidemiological models structured by time since infection have their origin in the seminal work of 1927 by Kermack and McKendrick. Compared to ordinary differential equations (ODE) models, they are able to capture differences in infectivity of the individuals in a more suitable manner. Their use …
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On a Stochastic Model of Epidemics
<p>This thesis examines a stochastic model of epidemics initially proposed and studied by Norman T.J. Bailey [1]. We discuss some issues with Bailey's stochastic model and argue that it may not be a viable theoretical platform for a more general epidemic model. A possible alternative approach to …
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Stochastic models for epidemics on networks
… I looked at an extension of the Reed-Frost epidemic model which had two-sub-populations. By setting up a Markov chain to model the epidemic and finding the transition probabilities of that chain, MATLAB could be used to solve for the expected number of susceptibles and the expected duration. …
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Fitting Stochastic Epidemic Models to Multiple Data Types
… focuses on fitting deterministic and stochastic epidemics models to surveillance case count data. Recently, researchers began to make use of infectious disease agent genetic data to complement statistical analyses of case count data. Such genetic analyses rely on the field of phylodynamics --- a …
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Estimation of hidden carriers of infectious diseases
… such as a second order jackknife, a SAIRS epidemic model, and an incidence rate.
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Incorporating the Pre-symptomatic Stage in the Discrete-Time Kermack-McKendrick Model
Numerous mathematical models have been implemented since the COVID-19 pandemic, with most using large compartmental models which indirectly restrict the generation-time distribution. The continuous-time Kermack-McKendrick epidemic model of 1927 (KM27) allows a random generation-time distribution, …
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Sir epidemic and predator - prey models of fractional-order
Recently, many deterministic mathematical models such as ordinary differential equations have been extended to fractional models, which are transformed using fractional differential equations. It was believed that these fractional models are more realistic to represent the daily life phenomena. The …
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Data conditioned simulation and inference
… through three examples, a homogeneous mixing SIR epidemic model, a time inhomogeneous Markov chain model and the stochastic Ricker model. The implementation of the methodology is problem-specific and we demonstrate the benefits of our approach in all three examples.
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Emerging Variants and Fading Immunity: Analyzing the Impact in Epidemic Modeling
… informed responses to control and mitigate the epidemic. This thesis aims to develop a model that can provide deeper insights into how epidemics progress and behave. Accurate epidemic simulation can provide valuable insights into how an epidemic affects the population. This thesis considers both …
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Fuel Shortages During Hurricanes: Epidemiological Modeling and Optimal Control
… exacerbate the evacuation efforts. Computational models can aid in emergency preparedness and help mitigate the impacts of hurricanes. In this thesis, the hurricane fuel shortages are modeled using the Susceptible-Infected-Recovered (SIR) epidemic model. Crowd-sourced data corresponding to …
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Essays on Behavioral Epidemic Modeling: Theoretical, Empirical, and Methodological Contributions
… and human behavior is essential for developing epidemic models that can reliably inform public health policy. Behavioral epidemic models capture the dynamic feedback between human behavior and disease spread. Models that incorporate this relationship endogenously have better long-term …
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Statistical inference in stochastic/deterministic epidemic models to jointly estimate transmission and severity
… of censoring affecting the data early during the epidemic. The challenge of estimating transmission is that each influenza data source is often affected by noise and selection bias and individually provides only partial information on the underlying process. To address severity estimation with …
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Thwarting Network Stealth Worms in Computer Networks through Biological Epidemiology
… explain, and control disease. Bio-mathematical modeling led to the development of a mechanism for digital networks to identify worm infection behavior buried in anomaly data, to characterize a worm, and to forecast the temporal spread of a worm. Demographic analysis of the infected hosts …
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Mathematical modelling of the HIV/AIDS epidemic and the effect of public health education
… population for decades. Through mathematical modelling, researchers have studied different interventions on the HIV pandemic, such as treatment, education, condom use, etc. Our research focuses on different compartmental models with emphasis on the effect of public health education. From the …
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Optimization problems in networks and queues
… Despite their diverse contexts, ranging from epidemic dynamics to queueing systems and influence propagation, the works share common analytical themes in the treatment of stochastic models, asymptotic behavior, and structural properties of optimal or equilibrium solutions. In the first …
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Analysis and optimal control of stochastic biological systems
… in cells and in the spread of diseases. The modelling methods associated with such processes are typically focused on the average values and based upon ordinary differential equations that are exact only in the limit of large numbers. When a small number of molecules or a low number of …
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Interval Markov chains: performance measures and sensitivity analysis.
… Markovian SIR (susceptible-infectious-recovered) epidemic model and looked to extend the concepts developed for the unstructured interval Markov chains. Two important performance measures, namely the mean final epidemic size and mean epidemic duration, were of interest to us and we were able to …
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Network effects and behavioral feedback in epidemic models
L'abstract è presente nell'allegato / the abstract is in the attachment
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Epidemiological Models For Mutating Pathogens With Temporary Immunity
… for disease transmissions and behavior of epidemics in recent years. A considerable amount of work has been done in modeling the dynamics of diseases by systems of ordinary differential equations. But there are very few mathematical models that deal with the genetic mutations of a pathogen. …
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Predicting the Spread and Management of the Cassava Brown Streak Disease Epidemic
… on the development of a landscape-scale spatial model of the CBSD epidemic to inform management. Currently, there is disparate information on the epidemiology of CBSD and significant associated uncertainty. We begin with a review of CBSD from an epidemiological perspective. The review focuses on: …
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