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Epidemiology incidence and geographical distribution of leptospirosis using GIS and its incidence prediction in Iran in 2021

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. Metho...

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Autores principales: Moradi, Ghobad, Masoumi Asl, Hossein, Bahmani, Nasrin, Vahabi, Ahmad, Shirzadi, Samira, Zare, Zahra, Goodarzi, Elham, Naemi, Hasan, Khazaei, Zaher, Karimi, Asrin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iran University of Medical Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683794/
https://www.ncbi.nlm.nih.gov/pubmed/34956955
http://dx.doi.org/10.47176/mjiri.35.109
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author Moradi, Ghobad
Masoumi Asl, Hossein
Bahmani, Nasrin
Vahabi, Ahmad
Shirzadi, Samira
Zare, Zahra
Goodarzi, Elham
Naemi, Hasan
Khazaei, Zaher
Karimi, Asrin
author_facet Moradi, Ghobad
Masoumi Asl, Hossein
Bahmani, Nasrin
Vahabi, Ahmad
Shirzadi, Samira
Zare, Zahra
Goodarzi, Elham
Naemi, Hasan
Khazaei, Zaher
Karimi, Asrin
author_sort Moradi, Ghobad
collection PubMed
description 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.
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spelling pubmed-86837942021-12-23 Epidemiology incidence and geographical distribution of leptospirosis using GIS and its incidence prediction in Iran in 2021 Moradi, Ghobad Masoumi Asl, Hossein Bahmani, Nasrin Vahabi, Ahmad Shirzadi, Samira Zare, Zahra Goodarzi, Elham Naemi, Hasan Khazaei, Zaher Karimi, Asrin Med J Islam Repub Iran Original Article 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. Iran University of Medical Sciences 2021-08-25 /pmc/articles/PMC8683794/ /pubmed/34956955 http://dx.doi.org/10.47176/mjiri.35.109 Text en © 2021 Iran University of Medical Sciences https://creativecommons.org/licenses/by-nc-sa/1.0/This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial-ShareAlike 1.0 License (CC BY-NC-SA 1.0), which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Original Article
Moradi, Ghobad
Masoumi Asl, Hossein
Bahmani, Nasrin
Vahabi, Ahmad
Shirzadi, Samira
Zare, Zahra
Goodarzi, Elham
Naemi, Hasan
Khazaei, Zaher
Karimi, Asrin
Epidemiology incidence and geographical distribution of leptospirosis using GIS and its incidence prediction in Iran in 2021
title Epidemiology incidence and geographical distribution of leptospirosis using GIS and its incidence prediction in Iran in 2021
title_full Epidemiology incidence and geographical distribution of leptospirosis using GIS and its incidence prediction in Iran in 2021
title_fullStr Epidemiology incidence and geographical distribution of leptospirosis using GIS and its incidence prediction in Iran in 2021
title_full_unstemmed Epidemiology incidence and geographical distribution of leptospirosis using GIS and its incidence prediction in Iran in 2021
title_short Epidemiology incidence and geographical distribution of leptospirosis using GIS and its incidence prediction in Iran in 2021
title_sort epidemiology incidence and geographical distribution of leptospirosis using gis and its incidence prediction in iran in 2021
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683794/
https://www.ncbi.nlm.nih.gov/pubmed/34956955
http://dx.doi.org/10.47176/mjiri.35.109
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