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 14 of 14 for “"epidemic modeling"”.
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Epidemic modeling techniques for smallpox
… given, and the strengths and weaknesses of each modeling technique are discussed. The mixing strategy used greatly affects the predictions of the models. The results gathered indicate that mass vaccination should be considered as a primary response technique in the event of a future smallpox …
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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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A new way to do epidemic modeling
… Since the outbreak of this pandemic, a number of modeling frameworks have been used to analyze various aspects of the pandemic such as prediction of infected and recovered case counts, hospitalizations, travel restrictions, reopening and non-pharmaceutical interventions. These frameworks can be …
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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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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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An agent-based approach to HIV/AIDS epidemic modeling : a case study of Papua New Guinea
… been developed to determine the drivers of the epidemic. It has become apparent that the most profound factor in the proliferation of this disease is the aggregate effects of individual behavior and perception of risk. Agent-based models (ABM) allow one to simulate the social and sexual …
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Exploiting Resource Diversity in Networks of Peers
… of the Internet graph. Still other work uses epidemic modeling to study the role of peer-to-peer networks for worm defense, in which users provide diversity by contributing resources to each other.
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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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Spatio-temporal Event Detection and Forecasting in Social Media
… event forecasting, and deep learning based epidemic modeling for forecasting influenza outbreaks. For the first of these methods, existing solutions for spatiotemporal event detection are mostly supervised and lack the flexibility to handle the dynamic keywords used in social media. The …
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A Database Supported Modeling Environment for Pandemic Planning and Course of Action Analysis
… 2003 SARS. In addition to analyzing the historic epidemic data, computational simulation of epidemic propagation processes and disease control strategies can help us understand the spatio-temporal dynamics of epidemics in the laboratory. Consequently, the public can be better prepared and the …
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Understanding Disordered Systems Through Numerical Simulation and Algorithm Development
… [2], social networks</p> <p>[3, 4], and epidemic modeling [5], to name a few.</p> <p>Due to their random nature and power law critical behavior, disordered</p> <p>systems are difficult to study analytically. Numerical simulation can help</p> <p>overcome this hurdle by allowing for the …
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Financial and Analytic Innovations for Therapeutic Development
… which combines Bayesian decision analysis and epidemic modeling to accelerate the clinical testing of anti-infective therapeutic candidates during a rapidly evolving epidemic outbreak. The Bayesian optimal sample size of the clinical trial decreases when the disease is more infectious and …
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A unified computational framework for modeling health policy adoption in complex real-world environments
… and persistent challenge in predictive modeling of real-world environments: the need to systematically capture the complex, uncertain, and socio-cultural dimensions of human decision-making. Traditional approaches often treat behavior as static, rule-based, homogeneous input and overlook …
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Advancing Emergency Department Efficiency, Infectious Disease Management at Mass Gatherings, and Self-Efficacy Through Data Science and Dynamic Modeling
… simulations to develop a modified SEIR model for modeling infectious diseases during mass gatherings and assessing the effectiveness of commonly implemented policies. The results demonstrated the significant collective impact of interventions such as visitor limits, vaccination mandates, and mask …