Medical Journal of The Islamic Republic of Iran (MJIRI)
Iran University of Medical Sciences
Wed, Nov 27, 2024
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Volume 35, Issue 1 (1-2021)
Med J Islam Repub Iran 2021 |
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Moradi G, Masoumi Asl H, Bahmani N, Vahabi A, Shirzadi S, Zare Z, et al . Epidemiology incidence and geographical distribution of leptospirosis using GIS and its incidence prediction in Iran in 2021. Med J Islam Repub Iran 2021; 35 (1) :829-835
URL: http://mjiri.iums.ac.ir/article-1-6465-en.html
URL: http://mjiri.iums.ac.ir/article-1-6465-en.html
Ghobad Moradi 
, Hossein Masoumi Asl , Nasrin Bahmani , Ahmad Vahabi , Samira Shirzadi , Zahra Zare , Elham Goodarzi , Hasan Naemi , Zaher Khazaei , Asrin Karimi
, Hossein Masoumi Asl , Nasrin Bahmani , Ahmad Vahabi , Samira Shirzadi , Zahra Zare , Elham Goodarzi , Hasan Naemi , Zaher Khazaei , Asrin Karimi
Department of Public Health, School of Medicine, Dezful University of Medical Sciences, Dezful, Iran , Zaherkhazaei@yahoo.com
Abstract: (1323 Views)
Background: Leptospirosis is known as a public health problem in developing and developed countries. The aim of this study was to investigate the incidence and geographical distribution of leptospirosis using the Geographic Information System (GIS) and to predict its incidence in Iran in 2021.
Methods: This was a descriptive analytical study. Information on leptospirosis was obtained from the Center for Communicable Diseases Control during 2009-2015. In the next step, The ArcGIS 9.3 was used to prepare geographic maps of the disease incidence and frequency. Therefore, using the Raster Calculator tool, the disease prediction map was drawn.
Results: The results showed that the highest incidence of leptospirosis during 2009-2015 was observed in Gilan, Mazandaran, and Golestan provinces, respectively. The incidence of the disease had an increasing trend from 2013 to 2015. Based on the results of the modeling in Iran, the provinces of Gilan, Mazandaran, and Golestan, with 72.18%, 8.54%, and 4.95% of their area, respectively, have the largest areas at a high-risk for leptospirosis in the coming years.
Conclusion: The prevalence of leptospirosis is affected by geographical and climatic conditions of every region; thus, the incidence of the disease is higher in the provinces located at the Caspian coastal side and in some regions in Semnan province. Hence, if health authorities pay more attention to developing health plans to prevent the disease, the risk of disease in these areas will be reduced in the future.
Methods: This was a descriptive analytical study. Information on leptospirosis was obtained from the Center for Communicable Diseases Control during 2009-2015. In the next step, The ArcGIS 9.3 was used to prepare geographic maps of the disease incidence and frequency. Therefore, using the Raster Calculator tool, the disease prediction map was drawn.
Results: The results showed that the highest incidence of leptospirosis during 2009-2015 was observed in Gilan, Mazandaran, and Golestan provinces, respectively. The incidence of the disease had an increasing trend from 2013 to 2015. Based on the results of the modeling in Iran, the provinces of Gilan, Mazandaran, and Golestan, with 72.18%, 8.54%, and 4.95% of their area, respectively, have the largest areas at a high-risk for leptospirosis in the coming years.
Conclusion: The prevalence of leptospirosis is affected by geographical and climatic conditions of every region; thus, the incidence of the disease is higher in the provinces located at the Caspian coastal side and in some regions in Semnan province. Hence, if health authorities pay more attention to developing health plans to prevent the disease, the risk of disease in these areas will be reduced in the future.
Type of Study: Original Research |
Subject:
Epidemiology
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