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Spatial analysis of chronic obstructive pulmonary disease and its risk factors in an urban area of Trivandrum, Kerala, India
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the second leading cause of death in India. The objective of this study was to map COPD cases and its risk factors and to determine the association between them using geographic information system (GIS) in a semi-urban area of Trivandrum, S...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053929/ https://www.ncbi.nlm.nih.gov/pubmed/35259792 http://dx.doi.org/10.4103/lungindia.lungindia_454_21 |
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author | Surendran, Sethulekshmi Mohan, Ananth Valamparampil, Mathew Joseph Nair, Sanjeev Balakrishnan, Sreekanth Karthikeyan Laila, Achu Asokan Reghunath, Rajesh Jose, Chinu Rajeevan, Amjith Vasudevakaimal, Prasannakumar Surendrannair, Anish Tekkumkara Nujum, Zinia Thajudeen Varghese, Sara Mohan, Alladi |
author_facet | Surendran, Sethulekshmi Mohan, Ananth Valamparampil, Mathew Joseph Nair, Sanjeev Balakrishnan, Sreekanth Karthikeyan Laila, Achu Asokan Reghunath, Rajesh Jose, Chinu Rajeevan, Amjith Vasudevakaimal, Prasannakumar Surendrannair, Anish Tekkumkara Nujum, Zinia Thajudeen Varghese, Sara Mohan, Alladi |
author_sort | Surendran, Sethulekshmi |
collection | PubMed |
description | BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the second leading cause of death in India. The objective of this study was to map COPD cases and its risk factors and to determine the association between them using geographic information system (GIS) in a semi-urban area of Trivandrum, South India. MATERIALS AND METHODS: This community-based cross-sectional, descriptive study (n = 494) was conducted in a subcenter area of a primary health center. Location was mapped and COPD population screener questionnaire was administered to all the study subjects enrolled by census method. Lifetime firewood exposure (person-hours) and tobacco smoking were enquired and distance from road was mapped using portable differential global positioning system. The association with COPD was assessed by kriging and hotspot analysis using ArcGIS software. RESULTS: The prevalence of COPD (6.5%) was comparable to national prevalence estimates. Spatial maps showed COPD case clustering in areas with higher firewood exposure, greater smoking exposure, and in households with closer proximity to local roads. A particular high-risk cluster was obtained which had a significant association with all the risk factors. CONCLUSION: GIS technology is useful in identification of spatial clustering of COPD cases and its environmental risk factors, making it an important tool for targeted interventions for COPD. |
format | Online Article Text |
id | pubmed-9053929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-90539292022-04-30 Spatial analysis of chronic obstructive pulmonary disease and its risk factors in an urban area of Trivandrum, Kerala, India Surendran, Sethulekshmi Mohan, Ananth Valamparampil, Mathew Joseph Nair, Sanjeev Balakrishnan, Sreekanth Karthikeyan Laila, Achu Asokan Reghunath, Rajesh Jose, Chinu Rajeevan, Amjith Vasudevakaimal, Prasannakumar Surendrannair, Anish Tekkumkara Nujum, Zinia Thajudeen Varghese, Sara Mohan, Alladi Lung India Original Article BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the second leading cause of death in India. The objective of this study was to map COPD cases and its risk factors and to determine the association between them using geographic information system (GIS) in a semi-urban area of Trivandrum, South India. MATERIALS AND METHODS: This community-based cross-sectional, descriptive study (n = 494) was conducted in a subcenter area of a primary health center. Location was mapped and COPD population screener questionnaire was administered to all the study subjects enrolled by census method. Lifetime firewood exposure (person-hours) and tobacco smoking were enquired and distance from road was mapped using portable differential global positioning system. The association with COPD was assessed by kriging and hotspot analysis using ArcGIS software. RESULTS: The prevalence of COPD (6.5%) was comparable to national prevalence estimates. Spatial maps showed COPD case clustering in areas with higher firewood exposure, greater smoking exposure, and in households with closer proximity to local roads. A particular high-risk cluster was obtained which had a significant association with all the risk factors. CONCLUSION: GIS technology is useful in identification of spatial clustering of COPD cases and its environmental risk factors, making it an important tool for targeted interventions for COPD. Wolters Kluwer - Medknow 2022 2022-02-28 /pmc/articles/PMC9053929/ /pubmed/35259792 http://dx.doi.org/10.4103/lungindia.lungindia_454_21 Text en Copyright: © 2022 Indian Chest Society https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Surendran, Sethulekshmi Mohan, Ananth Valamparampil, Mathew Joseph Nair, Sanjeev Balakrishnan, Sreekanth Karthikeyan Laila, Achu Asokan Reghunath, Rajesh Jose, Chinu Rajeevan, Amjith Vasudevakaimal, Prasannakumar Surendrannair, Anish Tekkumkara Nujum, Zinia Thajudeen Varghese, Sara Mohan, Alladi Spatial analysis of chronic obstructive pulmonary disease and its risk factors in an urban area of Trivandrum, Kerala, India |
title | Spatial analysis of chronic obstructive pulmonary disease and its risk factors in an urban area of Trivandrum, Kerala, India |
title_full | Spatial analysis of chronic obstructive pulmonary disease and its risk factors in an urban area of Trivandrum, Kerala, India |
title_fullStr | Spatial analysis of chronic obstructive pulmonary disease and its risk factors in an urban area of Trivandrum, Kerala, India |
title_full_unstemmed | Spatial analysis of chronic obstructive pulmonary disease and its risk factors in an urban area of Trivandrum, Kerala, India |
title_short | Spatial analysis of chronic obstructive pulmonary disease and its risk factors in an urban area of Trivandrum, Kerala, India |
title_sort | spatial analysis of chronic obstructive pulmonary disease and its risk factors in an urban area of trivandrum, kerala, india |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053929/ https://www.ncbi.nlm.nih.gov/pubmed/35259792 http://dx.doi.org/10.4103/lungindia.lungindia_454_21 |
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