Happiness has become a major concern across many disciplines starting form public policy, economics and psychology because of the effects that come with not being happy. Psychologist would want to know the effects of low levels of happiness, economist would want to know the effects of levels of happiness in to the market place, researchers from health would be concerned with effects of high and low levels of happiness to health status. While predominantly, people had just a philosophical notion about happiness, currently there are numerous scientific studies on happiness. Approaches like cluster analysis have been employed before. This research used neural networks to classify multinomial levels of happiness of Kenyan youths by considering life style aspects of current life such as Internet usage, Physical activeness, Health, Social life, Education, Income, Country's top leadership, Dining and Sleeping Habits. The research was able to fit a 14-1-4 neural network model to classify levels of happiness in Kenyan youths, an accuracy of 73% was achieved. The data was randomly split in to 70% training set and 30% test set. The training set was balanced using SMOTE approach. This research trained the model by applying gradient descent using error back propagation algorithm with initial weights drawn from uniform distribution and applied softmax activation function. Accuracy metrics were confusion matrix, precision and recall for each level of happiness, and F-Scores. The top leading factor related to happiness positively was physical activeness with youths who were more active being happier. The second factor was relationship type, the married youths were happier than the singles, separated or engaged. Youths who were more satisfied with their relationship, they were happier. Health was also positively related to happiness. On the other hand, the number of hours a youth spent on social media negatively affected their levels of happiness. The more the number of hours the low levels of happiness.
Childhood mortality is still a public health issue in Sub-Saharan Africa, with Kenya being among the countries that experience the highest rate of children dying before reaching the age of five. Under-5 child mortality (U5CM) is heavily influenced by demographic, environmental, and socio-economic factors. The study aimed to examine the risk factors of under-5 child mortality in Kenya. The data were based on birth histories from the Kenya Demographic and Health Surveys (KDHS) conducted in 2014. The relative contribution of factors such as the mother's education, mother's occupation, household wealth, place of residence, region, and sex of the child to the variability in the under-five child mortality was assessed using Kaplan-Meier and Cox hazard methods. The outcome variable for the study was the child's survival before the age of 5 and age at death. All children born in the period between 2009 and 2014 (n=83,591) were included in the study. Within the observation period, a total of 6,123 child deaths were recorded. The under-5 mortality rate in Kenya was strongly associated with the mother's education, region, place of residence, preceding birth interval, birth order, the total number of children ever born, mother's occupation, and type of toilet facility. The results indicated that a child born in Nyanza is twice more likely to die than that born in the Central region of Kenya. Male children had a higher risk of dying before the age of five than their female counterparts. The risk of experiencing U5CM increased among children born in rural areas compared to those born in urban areas. The study findings provide evidence in support of prioritizing interventions aiming at improving maternal and child healthcare. The findings also suggest that programs aimed at empowering women and boosting health knowledge among mothers should be scaled up. Furthermore, implementing socio-economic development interventions that reduce regional disparities is a recommendation that the central government should consider. Finally, national and local governments should commit resources to guarantee that modern contraceptives are available and used to increase child spacing.
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