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Spatial Analysis of Multiple Sclerosis Disease in Tehran Metropolitan Zone, Iran, 2001-2012

BACKGROUND: Multiple Sclerosis (MS) is a disease with high disabling disorders and considerable social and economic impacts. This study was conducted to analyze the spatial distribution of MS disease in Tehran, Iran during 2001-2012. METHODS: The existing information in the MS patients’ medical file...

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Autores principales: SAEI, Mahbubeh, HOLAKOUIE-NAIENI, Kourosh, MOSTAFAVI, Ehsan, SAHRAIAN, Mohammad Ali, MAHMOODI, Mahmood, MANSOURNIA, Mohammad Ali, HOSSEINI, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449410/
https://www.ncbi.nlm.nih.gov/pubmed/26060763
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author SAEI, Mahbubeh
HOLAKOUIE-NAIENI, Kourosh
MOSTAFAVI, Ehsan
SAHRAIAN, Mohammad Ali
MAHMOODI, Mahmood
MANSOURNIA, Mohammad Ali
HOSSEINI, Ali
author_facet SAEI, Mahbubeh
HOLAKOUIE-NAIENI, Kourosh
MOSTAFAVI, Ehsan
SAHRAIAN, Mohammad Ali
MAHMOODI, Mahmood
MANSOURNIA, Mohammad Ali
HOSSEINI, Ali
author_sort SAEI, Mahbubeh
collection PubMed
description BACKGROUND: Multiple Sclerosis (MS) is a disease with high disabling disorders and considerable social and economic impacts. This study was conducted to analyze the spatial distribution of MS disease in Tehran, Iran during 2001-2012. METHODS: The existing information in the MS patients’ medical files who had registered in Iranian MS Society (IMSS), located in Tehran office, was used for analysis. The relationship between diseases incidences in 22 zones of Tehran based on estimated socio-economic status (SES) of each zone was evaluated. High and low clustering approach was used in order to investigate the disease’s distribution pattern meanwhile, Getis Ord’s Gi test and Hot Spot analysis approach has been used to detect high risk zones of the disease. RESULTS: A total of 6027 MS patients were registered between 2001- 2012 which 4580 (%75.99) were women. During the study period, zone number 6 figured as the most high risk zone for the disease (P<0.1). A heterogeneous distribution was shown for the disease. Cumulative incidence of the disease in northern zones (101.73 per 100,000 inhabitants) was two times more of Southern zones (53.79 per 100,000 inhabitants). There seems to be a direct linear relationship between estimated incidence rate of the disease in each zones with the level of SES (P<0.001). CONCLUSION: Heterogeneous geographical distribution of MS and its higher estimated incidence for northern zones in Tehran may be because of higher SES and other factors in mentioned zones. It is recommended to consider the surveillance with long-term and cost-effective interventional strategies along with disease in high risk zones.
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spelling pubmed-44494102015-06-09 Spatial Analysis of Multiple Sclerosis Disease in Tehran Metropolitan Zone, Iran, 2001-2012 SAEI, Mahbubeh HOLAKOUIE-NAIENI, Kourosh MOSTAFAVI, Ehsan SAHRAIAN, Mohammad Ali MAHMOODI, Mahmood MANSOURNIA, Mohammad Ali HOSSEINI, Ali Iran J Public Health Original Article BACKGROUND: Multiple Sclerosis (MS) is a disease with high disabling disorders and considerable social and economic impacts. This study was conducted to analyze the spatial distribution of MS disease in Tehran, Iran during 2001-2012. METHODS: The existing information in the MS patients’ medical files who had registered in Iranian MS Society (IMSS), located in Tehran office, was used for analysis. The relationship between diseases incidences in 22 zones of Tehran based on estimated socio-economic status (SES) of each zone was evaluated. High and low clustering approach was used in order to investigate the disease’s distribution pattern meanwhile, Getis Ord’s Gi test and Hot Spot analysis approach has been used to detect high risk zones of the disease. RESULTS: A total of 6027 MS patients were registered between 2001- 2012 which 4580 (%75.99) were women. During the study period, zone number 6 figured as the most high risk zone for the disease (P<0.1). A heterogeneous distribution was shown for the disease. Cumulative incidence of the disease in northern zones (101.73 per 100,000 inhabitants) was two times more of Southern zones (53.79 per 100,000 inhabitants). There seems to be a direct linear relationship between estimated incidence rate of the disease in each zones with the level of SES (P<0.001). CONCLUSION: Heterogeneous geographical distribution of MS and its higher estimated incidence for northern zones in Tehran may be because of higher SES and other factors in mentioned zones. It is recommended to consider the surveillance with long-term and cost-effective interventional strategies along with disease in high risk zones. Tehran University of Medical Sciences 2014-05 /pmc/articles/PMC4449410/ /pubmed/26060763 Text en Copyright © Iranian Public Health Association & Tehran University of Medical Sciences This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License 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
SAEI, Mahbubeh
HOLAKOUIE-NAIENI, Kourosh
MOSTAFAVI, Ehsan
SAHRAIAN, Mohammad Ali
MAHMOODI, Mahmood
MANSOURNIA, Mohammad Ali
HOSSEINI, Ali
Spatial Analysis of Multiple Sclerosis Disease in Tehran Metropolitan Zone, Iran, 2001-2012
title Spatial Analysis of Multiple Sclerosis Disease in Tehran Metropolitan Zone, Iran, 2001-2012
title_full Spatial Analysis of Multiple Sclerosis Disease in Tehran Metropolitan Zone, Iran, 2001-2012
title_fullStr Spatial Analysis of Multiple Sclerosis Disease in Tehran Metropolitan Zone, Iran, 2001-2012
title_full_unstemmed Spatial Analysis of Multiple Sclerosis Disease in Tehran Metropolitan Zone, Iran, 2001-2012
title_short Spatial Analysis of Multiple Sclerosis Disease in Tehran Metropolitan Zone, Iran, 2001-2012
title_sort spatial analysis of multiple sclerosis disease in tehran metropolitan zone, iran, 2001-2012
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449410/
https://www.ncbi.nlm.nih.gov/pubmed/26060763
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