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Predictive Modeling Of Influenza In New England Using A Recurrent Deep Neural Network, Alfred Amendolara Dec 2019

Predictive Modeling Of Influenza In New England Using A Recurrent Deep Neural Network, Alfred Amendolara

Theses

Predicting seasonal variation in influenza epidemics is an ongoing challenge. To better predict seasonal influenza and provide early warning of pandemics, a novel approach to Influenza-Like-Illness (ILI) prediction was developed. This approach combined a deep neural network with ILI, climate, and population data. A predictive model was created using a deep neural network based on TensorFlow 2.0 Beta. The model used Long-Short Term Memory (LSTM) nodes. Data was collected from the Center for Disease Control, the National Center for Environmental Information (NCEI) and the United States Census Bureau. These parameters were temperature, precipitation, wind speed, population size, vaccination rate and …


The Prevalence And Context Of Adult Female Overweight And Obesity In Sub-Saharan Africa, Ifeoma Ozodiegwu May 2019

The Prevalence And Context Of Adult Female Overweight And Obesity In Sub-Saharan Africa, Ifeoma Ozodiegwu

Electronic Theses and Dissertations

Adult women bear a disproportionate burden of overweight and obesity in Sub-Saharan Africa (SSA). Precise information to understand disease distribution and assess determinants is lacking. Therefore, this dissertation aimed to: (i) analyze the prevalence of adult female overweight and obesity combined in lower-level administrative units; (ii) analyze the effect modification of educational attainment and age on the association between household wealth and adult female overweight and obesity; (iii) synthesize qualitative research evidence to describe contextual factors contributing to female overweight and obesity at different life stages. Bayesian and logistic regression models were constructed with Demographic and Health Survey (DHS) data …