Studying the Spatio-temporal Pattern of Tuberculosis Using of Geographic Information System in West Azerbaijan Province from 2015 to 2019
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Eslam Moradi-Asl , Peyman Hassaneh , Arman Latifi , Sara Rahimi , Rasoul Entezar-Mahdi ![](./files/0allsites/images/pubmed20.png) |
Ardabil University of Medical Sciences, Ardabil , Iran |
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Abstract: (95 Views) |
Background & objectives: Effective reduction of tuberculosis necessitates insight into its spatio-temporal distribution. This study sought to analyze the spatial-temporal distribution pattern of tuberculosis in West Azerbaijan province from 2015 to 2019 using ArcGIS software. By examining the spatial distribution of tuberculosis in the region, the study aimed to provide valuable information for efficient health planning, resource allocation, and implementation of preventive measures.
Methods: A cross-sectional analysis was conducted on tuberculosis data (754 patients) at the provincial level, sourced from the Ministry of Health, Treatment, and Medical Education of Iran between 2015 and 2019. Spatial changes were identified using Moran's correlation analysis and Getis Ord G*. Moreover, correlation analysis based on distance and cluster analysis was utilized for spatial-temporal analysis.
Results: The study revealed that 80% of tuberculosis cases in West Azerbaijan province were concentrated in Urmia, Miandawab, Selmas, and Chahar Borj. Furthermore, Piranshahr, Mahabad, Shahindej, and Takab were identified as hot spots for tuberculosis. These cities exhibited a positive and statistically significant Z-Score, indicating a high prevalence of tuberculosis.
Conclusion: The spatial analysis indicated clustering of tuberculosis cases in West Azerbaijan, particularly in Urmia, Miandawab, Selmas, and Chahar Borj with the highest patient numbers. Spatial distance emerged as a critical factor influencing the spread of tuberculosis within the province, with inter-provincial travel facilitating disease dissemination from central to peripheral areas.
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Keywords: Tuberculosis, Geographic Information System (GIS), Spatial Model, West Azerbaijan, Iran. |
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Full-Text [PDF 2180 kb]
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Type of Study: Research |
Subject:
General Received: 2023/09/19 | Accepted: 2024/02/24 | Published: 2024/04/2
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