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Spatial Clustering of Tuberculosis Incidence in the North of Iran
BACKGROUND AND PURPOSE: Tuberculosis (TB) poses a serious threat to public health throughout the world but disproportionately afflicts low-income nations. The aim of this study is to identify the high-risk areas in Mazandaran province (North of Iran) in helping the heath programmer for the best inte...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Canadian Center of Science and Education
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825535/ https://www.ncbi.nlm.nih.gov/pubmed/25363121 http://dx.doi.org/10.5539/gjhs.v6n6p288 |
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author | Yazdani-Charati, Jamshid Siamian, Hasan Kazemnejad, Anoushirvan Vahedi, Mohammad |
author_facet | Yazdani-Charati, Jamshid Siamian, Hasan Kazemnejad, Anoushirvan Vahedi, Mohammad |
author_sort | Yazdani-Charati, Jamshid |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Tuberculosis (TB) poses a serious threat to public health throughout the world but disproportionately afflicts low-income nations. The aim of this study is to identify the high-risk areas in Mazandaran province (North of Iran) in helping the heath programmer for the best intervention. MATERIALS AND METHODS: This is an ecological study conducted from 1999 through 2008. The sample included 2444 Tuberculosis (TB) patients. The variables were age, gender, type of disease and residential location, analyzed by descriptive statistical methods and spatial analysis to identify cluster of disease incidence. Geographical information system software applied to map of smooth rate of TB. RESULTS: Of 2444 registered patients, 1283 (52.5%) were male. The data showed 61% urban and 96.4% of them with the Iranian nationality. There was insignificant difference between genders, but the main difference was observed between locations that are the incidence rate in the Tonekabon and Behshahr cities were 30% higher than mean incidence rate of Mazandaran province (P-value<0.05). The comprising chance of acquiring infection between urban and rural was 1.46 with confidence interval of 95% (1.35, 1.59). CONCLUSION: Geostatistical method showed spatial variability of TB incidence rate in all districts and identifying high-risk area (core areas). The most important core of TB incidence has been noticed in the eastern boundary of Mazandaran in the city of Behshahr which is due to proximity to Golestan Province. The incidence rate of TB in Behshahr city is about two times more than the number observed in Mazandaran province. Lower TB incidence rate has been observed in Golestan province is because there is usually a delay in the diagnosis of the disease especially in the positive smear patients. |
format | Online Article Text |
id | pubmed-4825535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Canadian Center of Science and Education |
record_format | MEDLINE/PubMed |
spelling | pubmed-48255352016-04-21 Spatial Clustering of Tuberculosis Incidence in the North of Iran Yazdani-Charati, Jamshid Siamian, Hasan Kazemnejad, Anoushirvan Vahedi, Mohammad Glob J Health Sci Articles BACKGROUND AND PURPOSE: Tuberculosis (TB) poses a serious threat to public health throughout the world but disproportionately afflicts low-income nations. The aim of this study is to identify the high-risk areas in Mazandaran province (North of Iran) in helping the heath programmer for the best intervention. MATERIALS AND METHODS: This is an ecological study conducted from 1999 through 2008. The sample included 2444 Tuberculosis (TB) patients. The variables were age, gender, type of disease and residential location, analyzed by descriptive statistical methods and spatial analysis to identify cluster of disease incidence. Geographical information system software applied to map of smooth rate of TB. RESULTS: Of 2444 registered patients, 1283 (52.5%) were male. The data showed 61% urban and 96.4% of them with the Iranian nationality. There was insignificant difference between genders, but the main difference was observed between locations that are the incidence rate in the Tonekabon and Behshahr cities were 30% higher than mean incidence rate of Mazandaran province (P-value<0.05). The comprising chance of acquiring infection between urban and rural was 1.46 with confidence interval of 95% (1.35, 1.59). CONCLUSION: Geostatistical method showed spatial variability of TB incidence rate in all districts and identifying high-risk area (core areas). The most important core of TB incidence has been noticed in the eastern boundary of Mazandaran in the city of Behshahr which is due to proximity to Golestan Province. The incidence rate of TB in Behshahr city is about two times more than the number observed in Mazandaran province. Lower TB incidence rate has been observed in Golestan province is because there is usually a delay in the diagnosis of the disease especially in the positive smear patients. Canadian Center of Science and Education 2014-11 2014-09-23 /pmc/articles/PMC4825535/ /pubmed/25363121 http://dx.doi.org/10.5539/gjhs.v6n6p288 Text en Copyright: © Canadian Center of Science and Education http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Articles Yazdani-Charati, Jamshid Siamian, Hasan Kazemnejad, Anoushirvan Vahedi, Mohammad Spatial Clustering of Tuberculosis Incidence in the North of Iran |
title | Spatial Clustering of Tuberculosis Incidence in the North of Iran |
title_full | Spatial Clustering of Tuberculosis Incidence in the North of Iran |
title_fullStr | Spatial Clustering of Tuberculosis Incidence in the North of Iran |
title_full_unstemmed | Spatial Clustering of Tuberculosis Incidence in the North of Iran |
title_short | Spatial Clustering of Tuberculosis Incidence in the North of Iran |
title_sort | spatial clustering of tuberculosis incidence in the north of iran |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825535/ https://www.ncbi.nlm.nih.gov/pubmed/25363121 http://dx.doi.org/10.5539/gjhs.v6n6p288 |
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