The use of multivariate analysis in the classification of Syrian governorates according to the number of communicable diseases 2001-2017
Akroush, M. (2020). The use of multivariate analysis in the classification of Syrian governorates according to the number of communicable diseases 2001-2017. EKB Journal Management System, 44(1), 89-123. doi: 10.21608/alat.2020.178852
mohamed Akroush. "The use of multivariate analysis in the classification of Syrian governorates according to the number of communicable diseases 2001-2017". EKB Journal Management System, 44, 1, 2020, 89-123. doi: 10.21608/alat.2020.178852
Akroush, M. (2020). 'The use of multivariate analysis in the classification of Syrian governorates according to the number of communicable diseases 2001-2017', EKB Journal Management System, 44(1), pp. 89-123. doi: 10.21608/alat.2020.178852
Akroush, M. The use of multivariate analysis in the classification of Syrian governorates according to the number of communicable diseases 2001-2017. EKB Journal Management System, 2020; 44(1): 89-123. doi: 10.21608/alat.2020.178852

The use of multivariate analysis in the classification of Syrian governorates according to the number of communicable diseases 2001-2017

المجلة المصرية للدراسات التجارية
Article 16, Volume 44, Issue 1, January 2020, Page 89-123  XML PDF (1.64 MB)
Document Type: المقالة الأصلية
DOI: 10.21608/alat.2020.178852
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Author
mohamed Akroush
Tishreen university - syria
Abstract
This study provides an assessment of the current status of communicable diseases in Syria Arab Public from 2011-2017. Within groups of the main diseases that the Syria Ministry of Health in cooperation with the World Health Organization are monitoring and following up on their numbers and whether the infection is verifiable and spreadable or is still suspected. This study provides a statistical map of the most areas that prone to communicable diseases in the Syrian governorates during years of study.
In this study we used the style of multivariate to analysis through the use of cluster and discriminatory to the classification of Syria governorates. The results show that there is no homogeneity in the number of infectious diseases among the Syria governorates, where the level of infection group within the average level by distinguishing these levels of communicable in the Syria governorates, a group of 21 diseases has showed different levels from the rest like Diphtheria diseases and leishmaniasis
Keywords
Communicable diseases; Syrian governorates; cluster analysis; discriminatory analysis
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