Spatio-temporal and epidemiological geographic information system (GIS)-based analysis of high blood pressure-related calls to emergency medical services (EMS) in Mashhad.
Introduction: Emergency Medical Services (EMS) is the first point of service for people who are in critical conditions and need emergency services, and high blood pressure is one of the most important causes of death in Iran and the world. Method: This applied and descriptive-analytical research, using spatial statistics and geographic information system (GIS), analyzed the epidemiologic space-time of blood pressure in the city of Mashhad. The statistical population, the total number of blood pressure patients (3555 people), are within the city of Mashhad, who contacted the EMS center between 2018 and 2019. To identify the spatial pattern of blood pressure disease, in the analysis of the spatial distribution pattern of central complication techniques, standard deviation curve, high/low clustering analysis, hot spot analysis, global and local Moran index and kernel density analysis to analyze and how the pattern Spatial distribution of blood pressure disease has been used by GIS. Results: The findings show that the index of clustering analysis in the spatial pattern is in the form of severe clustering. Cornell's density estimation model showed that the most areas involved in blood pressure diseases include the northeastern areas towards the center of Mashhad city, where patients with high or low blood pressure have gathered in hot or cold clusters. Conclusion: By using the analytical results, a comprehensive understanding of the centers of blood pressure disease, and the spatial patterns and geographical distribution of health, in Mashhad city, has been achieved, which can be taken into account in preventive measures.
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Mohammadi, A. , Nasiri, P. and Moghabeli, R. (2024). Spatio-temporal and epidemiological geographic information system (GIS)-based analysis of high blood pressure-related calls to emergency medical services (EMS) in Mashhad.. Medical Journal of Mashhad university of Medical Sciences, 67(4), 1236-1249. doi: 10.22038/mjms.2024.78329.4535
MLA
Mohammadi, A. , , Nasiri, P. , and Moghabeli, R. . "Spatio-temporal and epidemiological geographic information system (GIS)-based analysis of high blood pressure-related calls to emergency medical services (EMS) in Mashhad.", Medical Journal of Mashhad university of Medical Sciences, 67, 4, 2024, 1236-1249. doi: 10.22038/mjms.2024.78329.4535
HARVARD
Mohammadi, A., Nasiri, P., Moghabeli, R. (2024). 'Spatio-temporal and epidemiological geographic information system (GIS)-based analysis of high blood pressure-related calls to emergency medical services (EMS) in Mashhad.', Medical Journal of Mashhad university of Medical Sciences, 67(4), pp. 1236-1249. doi: 10.22038/mjms.2024.78329.4535
CHICAGO
A. Mohammadi , P. Nasiri and R. Moghabeli, "Spatio-temporal and epidemiological geographic information system (GIS)-based analysis of high blood pressure-related calls to emergency medical services (EMS) in Mashhad.," Medical Journal of Mashhad university of Medical Sciences, 67 4 (2024): 1236-1249, doi: 10.22038/mjms.2024.78329.4535
VANCOUVER
Mohammadi, A., Nasiri, P., Moghabeli, R. Spatio-temporal and epidemiological geographic information system (GIS)-based analysis of high blood pressure-related calls to emergency medical services (EMS) in Mashhad.. Medical Journal of Mashhad university of Medical Sciences, 2024; 67(4): 1236-1249. doi: 10.22038/mjms.2024.78329.4535