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Correlation Assessment of Climate and Geographic Distribution of Tuberculosis Using Geographical Information System (GIS)

BACKGROUND: Tuberculosis (TB) spread pattern is influenced by geographic and social factors. Nowadays Geographic Information System (GIS) is one of the most important epidemiological instrumentation identifying high-risk population groups and geographic areas of TB. The aim of this study was to dete...

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Autores principales: BEIRANVAND, Reza, KARIMI, Asrin, DELPISHEH, Ali, SAYEHMIRI, Kourosh, SOLEIMANI, Samira, GHALAVANDI, Shahnaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4822399/
https://www.ncbi.nlm.nih.gov/pubmed/27057526
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author BEIRANVAND, Reza
KARIMI, Asrin
DELPISHEH, Ali
SAYEHMIRI, Kourosh
SOLEIMANI, Samira
GHALAVANDI, Shahnaz
author_facet BEIRANVAND, Reza
KARIMI, Asrin
DELPISHEH, Ali
SAYEHMIRI, Kourosh
SOLEIMANI, Samira
GHALAVANDI, Shahnaz
author_sort BEIRANVAND, Reza
collection PubMed
description BACKGROUND: Tuberculosis (TB) spread pattern is influenced by geographic and social factors. Nowadays Geographic Information System (GIS) is one of the most important epidemiological instrumentation identifying high-risk population groups and geographic areas of TB. The aim of this study was to determine the correlation between climate and geographic distribution of TB in Khuzestan Province using GIS during 2005–2012. METHODS: Through an ecological study, all 6363 patients with definite diagnosis of TB from 2005 until the end of September 2012 in Khuzestan Province, southern Iran were diagnosed. Data were recorded using TB- Register software. Tuberculosis incidence based on the climate and the average of annual rain was evaluated using GIS. Data were analyzed through SPSS software. Independent t-test, ANOVA, Linear regression, Pearson and Eta correlation coefficient with a significance level of less than 5% were used for the statistical analysis. RESULTS: The TB incidence was different in various geographic conditions. The highest mean of TB cumulative incidence rate was observed in extra dry areas (P= 0.017). There was a significant inverse correlation between annual rain rate and TB incidence rate (R= −0.45, P= 0.001). The lowest TB incidence rate (0–100 cases per 100,000) was in areas with the average of annual rain more than 1000 mm (P= 0.003). CONCLUSION: The risk of TB has a strong relationship with climate and the average of annual rain, so that the risk of TB in areas with low annual rainfall and extra dry climate is more than other regions. Services and special cares to high-risk regions of TB are recommended.
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spelling pubmed-48223992016-04-07 Correlation Assessment of Climate and Geographic Distribution of Tuberculosis Using Geographical Information System (GIS) BEIRANVAND, Reza KARIMI, Asrin DELPISHEH, Ali SAYEHMIRI, Kourosh SOLEIMANI, Samira GHALAVANDI, Shahnaz Iran J Public Health Original Article BACKGROUND: Tuberculosis (TB) spread pattern is influenced by geographic and social factors. Nowadays Geographic Information System (GIS) is one of the most important epidemiological instrumentation identifying high-risk population groups and geographic areas of TB. The aim of this study was to determine the correlation between climate and geographic distribution of TB in Khuzestan Province using GIS during 2005–2012. METHODS: Through an ecological study, all 6363 patients with definite diagnosis of TB from 2005 until the end of September 2012 in Khuzestan Province, southern Iran were diagnosed. Data were recorded using TB- Register software. Tuberculosis incidence based on the climate and the average of annual rain was evaluated using GIS. Data were analyzed through SPSS software. Independent t-test, ANOVA, Linear regression, Pearson and Eta correlation coefficient with a significance level of less than 5% were used for the statistical analysis. RESULTS: The TB incidence was different in various geographic conditions. The highest mean of TB cumulative incidence rate was observed in extra dry areas (P= 0.017). There was a significant inverse correlation between annual rain rate and TB incidence rate (R= −0.45, P= 0.001). The lowest TB incidence rate (0–100 cases per 100,000) was in areas with the average of annual rain more than 1000 mm (P= 0.003). CONCLUSION: The risk of TB has a strong relationship with climate and the average of annual rain, so that the risk of TB in areas with low annual rainfall and extra dry climate is more than other regions. Services and special cares to high-risk regions of TB are recommended. Tehran University of Medical Sciences 2016-01 /pmc/articles/PMC4822399/ /pubmed/27057526 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
BEIRANVAND, Reza
KARIMI, Asrin
DELPISHEH, Ali
SAYEHMIRI, Kourosh
SOLEIMANI, Samira
GHALAVANDI, Shahnaz
Correlation Assessment of Climate and Geographic Distribution of Tuberculosis Using Geographical Information System (GIS)
title Correlation Assessment of Climate and Geographic Distribution of Tuberculosis Using Geographical Information System (GIS)
title_full Correlation Assessment of Climate and Geographic Distribution of Tuberculosis Using Geographical Information System (GIS)
title_fullStr Correlation Assessment of Climate and Geographic Distribution of Tuberculosis Using Geographical Information System (GIS)
title_full_unstemmed Correlation Assessment of Climate and Geographic Distribution of Tuberculosis Using Geographical Information System (GIS)
title_short Correlation Assessment of Climate and Geographic Distribution of Tuberculosis Using Geographical Information System (GIS)
title_sort correlation assessment of climate and geographic distribution of tuberculosis using geographical information system (gis)
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4822399/
https://www.ncbi.nlm.nih.gov/pubmed/27057526
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