Effects of Environmental Air Pollution on pediatric asthma in Morocco

The aim of this study was to assess the performance of multivariate statistical technique, principal component analysis (PCA) for investigating the impact of exposure to ambient air pollution on asthma in Moroccan infants under one year old. The histogram of the eigenvalues shows that the first plane, made up of the axes PC1 and PC2, represents 81.87% of the total inertia. It turns out to be sufficient to reflect the bulk of this inertia, which means that the first two axes are sufficient to represent the information as a whole. The results of this study show that sulphur dioxide and nitrogen dioxide were positively correlated with asthma and they are also closely related and move in the same direction. Principal component analysis results confirm effects of environmental air pollution on paediatric asthma in Morocco.

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