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 1218 for “"Epidemic"”.
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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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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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Human Behavior in Epidemic Modelling
… behavioral changes can affect the spread of an epidemic, spontaneous social distancing - e.g. produced by avoiding crowded environments, using face masks or limiting travels - is investigated. Moreover, in order to assess whether vaccine preventable diseases can be eliminated through not …
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Neoliberalism and the "Obesity Epidemic"
… if necessary." I would argue that the "Obesity Epidemic" is just such a created Neoliberal market, and in fact does not actually exist as an "epidemic." By changing the computation of BMI (Body Mass Index) in 1998, the federal government created the "Obesity Epidemic" by definitional fiat, …
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Epidemic modeling techniques for smallpox
Infectious disease models predict the impact of outbreaks. Discrepancies between model predictions stem from both the disease parameters used and the underlying mathematics of the models. Smallpox has been modeled extensively in recent years to determine successful response guidelines for a future …
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TOWARDS DATA DRIVEN NETWORK EPIDEMIC MODELING.
… challenges in data-driven networked epidemic modeling. In the aftermath of the COVID-19 pandemic, and with several other epidemics in recent history, it is clear that advances in how to better integrate large-scale human mobility data are of considerable societal importance. …
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Modelling HIV/AIDS epidemic in Nigeria
… spatial distribution of the Nigerian HIV/AIDS epidemic and its associated ecological risk factors; the second, to develop models that could reconstruct the HIV incidence curve, obtain an estimate of the hidden HIV/AIDS population and a short term projection for AIDS incidence and a measure of …
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Epidemic influenza: its causation and prevention
PART ONE - MAINLY HISTORICAL: Influenza is a disease of the respiratory tract. It is characterised by an abrupt onset, pyrexia, ill defined muscular pains, and a serous or catarrhal discharge from the epithelium of the nose, pharynx, and bronchial tree. Economically it is important, as twenty per …
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Hybrid methodology for Markovian epidemic models
… present, during which stage the probability of epidemic fade out is considerable. Unfortunately, the simple SIR CTMC has a state space of order N², where N is the size of the population being modelled, and hence computational limits are quickly reached as N increases. There are a number of …
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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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Epidemic Inference from a Statistical Physics viewpoint
L'abstract è presente nell'allegato / the abstract is in the attachment
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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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A new way to do epidemic modeling
… this thesis, we introduce another category for epidemic modeling, which is rooted in Scientific Machine Learning. Scientific Machine Learning (SciML) leverages the interpretability of ODEs with the expressivity of neural networks. We thus aim to retain the interpretability of compartment models …
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Hooked on Nico-Teen: The Youth Vaping Epidemic
Between 2014 and 2018, the nicotine consumption market was irreversibly transformed with the boom of electronic cigarettes. Although these devices initially hit the market as a safe alternative to cigarettes that would help current smokers to quit, the product quickly spread to middle and high …
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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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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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