Application of Hierarchical Clustering Technique for the Assessment of Maternal Mortality and Indicators in Nigeria
Keywords:
Hierarchical Clustering, Correlation analysis, Official Maternal mortality statistics, Demographic statistics, States of Nigeria.Abstract
In many nations, maternal mortality is still the greatest risk factor for women of reproductive age and is still a significant public health concern, particularly in developing nations. The study of maternal motility has become a concern with regard to this reason, and the adopted Sustainable Development Goal (SDG), which aims to significantly reduce the number of deaths to 70 per 100,000 live births by 2030. The objective of this research was to assess the factors responsible for maternal death using multivariate statistical techniques. Data on variables of interest from the 36 states and the federal capital territory have been extracted from the annual abstract of statistics of the NBS and NDHS, among other recent published sources. Cluster analysis (CA) and correlation analysis were applied to the datasets. Hierarchical cluster analysis using the ward method and squared Euclidean distance grouped 37 states into three groups using (Dlink/Dmax) x100<25, with cluster 3 having the highest prevalence, cluster 1 having a moderate prevalence, and cluster 2 having a lesser prevalence, with PPHPS and LTRPS as the important variables. Likewise, the correlation analysis revealed that the variables PPHPS and PWNPS, with a correlation value of 0.829, and PWNPS and PRPS, with a correlation value of 0.711, are the most related factors contributing to the high maternal motility in Nigeria.Downloads
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