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.
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Showing 1 to 20 of 38 for “"epidemic models"”.
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Chain binomial epidemic models
Call number: LD2668 .R4 STAT 1988 C35
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Chain binomial epidemic models
Call number: LD2668 .R4 STAT 1988 C35
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Hybrid methodology for Markovian epidemic models
… for analysing a wide range of epidemiological models, and an approach for improving parameter estimation from data describing the early stages of an outbreak. We restrict our attention to epidemiological models with continuous-time Markov chain (CTMC) dynamics, a ubiquitous framework also …
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Stochastic and deterministic multipatch epidemic models
This dissertation covers the modeling of epidemics in populations that contain multiple groups that also includes interaction between subgroups. The main techniques employed are thresholds for both the deterministic and the stochastic system through an approximating multi-type branching process. We …
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Stochastic and Renewal Methods Applied to Epidemic Models
… free state. The second chapter analyses the SIS Epidemic dynamics using the Birth-Death Markov processes. The Susceptible-Infected-Susceptible (SIS) model is defined with the population of constant size (M); the susceptible population (S) and the infected population (I) have the same rate of …
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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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Discrete epidemic models with arbitrarily distributed disease stages
<p>The use of discrete-time models (or discrete models) in the field of mathematical epidemiology has been limited while continuous-time models (or continuous models) are often times preferred, particularly because disease dynamics do occur continuously in time and more mathematical tools are …
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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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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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Validating Forecasting Strategies of Simple Epidemic Models on the 2015-2016 Zika Epidemic
… delves into validating forecasts of simple epidemic models. We use incidence data from the 2015-2016 Zika virus outbreak in Antioquia, Colombia, to assess what model features result in accurate forecasts. We employed the Parametric Bootstrapping and Ensemble Kalman Filter methods 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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Efficient Bayesian inference for partially observed stochastic epidemics and a new class of semi-parametric time series models
… inference for partially observed stochastic epidemic models. In the second part, we develop a novel methodology for constructing a wide class of semi-parametric time series models. First, we introduce a general framework for the heterogeneously mixing stochastic epidemic models (HMSE) and we …
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Stochastic Modelling and Optimal Control of Compartment Fires
… in the knowledge of deterministic fire growth models and stochastic fire growth models. In this thesis we develop non-stationary stochastic models in an endeavor to bridge the gap. The class of Epidemic models for infectious diseases are non-stationary growth models. In the first part of the …
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Modeling of HIV, SIR and SIS epidemics on time scales and oscillation theory
… their applications. In particular, we focus on epidemic models such as HIV (Human Immunodeficiency Virus), SIS (Susceptible-Infected-Susceptible) and SIR (Susceptible-Infected-Recovered).</p> <p>First, we generalize the early studied continuous three dimensional linear model of drug therapy for …
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A computational approach to understanding spatial and temporal granularities in agent-based modeling
Epidemic agent-based models simulate individuals in artificial societies capable of moving, interacting, and transmitting disease amongst themselves. Due to limitations in data and computation, epidemic models simulating tens of millions of individuals often coarsen the finest representations of …
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Contributions to the mathematical theory of epidemic dynamics
… of a bovine tuberculosis (Mycobacterium bovis) epidemic in a white-tailed deer (Odocoileits virgmiamis) population using data from a recent epidemic in Michigan. I conclude that the best use of epidemic forecasting exercises is to identify critical gaps in knowledge for future research. Next, I …
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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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Statistical modeling and analysis of partially observed infectious diseases
… approach for the analysis of infectious disease models. Stochastic SIS household-based epidemic models were considered with individuals allowed to be contracted locally at a given rate and there also exists a global force of infection. The study covers both when the population of interest is …
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A unified computational framework for modeling health policy adoption in complex real-world environments
… to interact with established health system models (e.g., compartmental epidemic models) through novel feedback mechanisms, allowing for the co-evolution of social dynamics and health outcomes. We demonstrate the framework's validity and utility through two distinct case studies. First, we …
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Epidemic Simulation and Mitigation via Evolutionary Computation
… computer science, and mathematics to generate epidemic models, vaccines, and vaccination strategies to mitigate unfavourable outcomes. To this end, a generative representation to create personal contact networks, representing the social connections within a population, known as the Local …
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