An Analytical Framework for the Study of Child Morality in Pakistan

Abstract

Child mortality is one of the most commonly used indicator of the socio-economic development of a population. Even though Pakistan has made considerable progress in reducing child mortality, it remains higher than in many countries and developing nations. The main aim of the study is to gain information about child mortality due to different diseases. The data set is taken from a Secondary Internet resource (www.kaggal.com). The dataset consists of child mortality under 5year age caused by different diseases in Pakistan. A graphical representation of the different diseases is drawn to have a quick view of different diseases. The correlation matrix is also computed in this analysis. Malaria has a strong positive or negative correlation with other neonatal diseases, drowning, Tuberculosis, neonatal preterm birth, diarrheal disease and other disease interpreted as similar. The factor analysis is used to explore the underlying dimension of multiple variables. Factor analysis showed that 99% of the variance is explained by HIV/AIDS, other neonatal diseases, tuberculosis, and diarrheal disease. The extracted percentage of variance shows that the first component accounts for 63.868%, the second 22.093%, and the third 7.57% of variance characteristics.