Typology of Health Districts Based on Data from Ten Infectious Diseases Under Surveillance in Senegal

Abdourahmane Ndao; Cheikh Tidiane Seck

doi:AJMSS_AONOOEFG

Typology of Health Districts Based on Data from Ten Infectious Diseases Under Surveillance in Senegal

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African Journal of Mathematics and Statistics Studies

Vol. 6Issue 32023pp. 104–114Published 1 August 2023

DOI AJMSS_AONOOEFG

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Abstract:

The aim of this work is to construct a typology of health districts in Senegal based on the distribution frequency of ten infectious diseases under surveillance. Our methodology utilizes HCPC (Hierarchical Classification on Principal Components) algorithm which combines two data analysis techniques, namely Principal Component Analysis (PCA) and Hierarchical Ascending Classification (HAC). The data come from the Prevention Department of the Ministry of Health and Social Action and cover the period from January 2018 to November 2022. The results show that health districts in Senegal can be divided into three clusters according to the number of confirmed cases recorded for each of the ten considered infectious diseases. Moreover, the parangons’ principle allows us to select from the obtained clusters a representative stratified sample of health districts in view to identifying risk factors associated with these ten pathologies.

Keywords:Typology Health districts Number of confirmed cases Infectious diseases Health surveillance data.

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