Essays about: "epidemiological model"
Showing result 1 - 5 of 18 essays containing the words epidemiological model.
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1. Solving Ordinary Differential Equations and Systems using Neural Network Methods
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : The applications of differential equations are many. However, many differential equations modelling real-world scenarios are very complex and it can be of great difficulty to find an exact solution if one even exists. Thus, it is of importance to be able to approximate solutions of differential equations. READ MORE
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2. Investigating the Estimation of the infection rate and the fraction of infections leading to death in epidemiological simulation
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : The main goal of this project is to investigate the behaviors of parameters used when modeling an epidemic. A stochastic SIHDRe model is used to simulate how an epidemic evolves over time. READ MORE
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3. Modeling COPD with a Generalized Linear Mixed Effect Model : Results from the OLIN-study
University essay from Umeå universitet/StatistikAbstract : The purpose of this thesis is to analyze which factors are associated with physicians’ diagnosis of Chronic Obstructive Pulmonary Disease (COPD) where time is of primary interest. The data that is used in the analysis is from the OLIN studies. READ MORE
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4. The Influence of the COVID-19 Pandemic on the Swedish Financial Market
University essay from KTH/Matematisk statistikAbstract : The initial coronavirus disease caught the world by surprise at the end of 2019, as it was soon declared a pandemic. It led to an unexpected global crisis and profound disruption in societies and Sweden was no exception. READ MORE
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5. A Physics-Informed Deep Learning Framework for Solving Inverse Problems in Epidemiology
University essay from KTH/Optimeringslära och systemteoriAbstract : This thesis develops and evaluates a physics-informed neural network (PINN) modelling framework for solving inverse problems in epidemiology. The PINN works by modifying the standard mean squared error loss function of the neural network, by adding a term penalizing deviations from a given compartmental model's system of ordinary differential equations. READ MORE