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...

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Veröffentlicht in:Lung India Jg. 39; H. 2; S. 110 - 115
Hauptverfasser: 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
Format: Journal Article
Sprache:Englisch
Veröffentlicht: India Medknow Publications & Media Pvt Ltd 01.03.2022
Medknow Publications and Media Pvt. Ltd
Medknow Publications & Media Pvt. Ltd
Wolters Kluwer - Medknow
Wolters Kluwer Medknow Publications
Ausgabe:2
Schlagworte:
Chronic obstructive pulmonary disease
geographic information system
Geographic information systems
Geospatial data
india
Lung diseases, Obstructive
Original
Original Article
Risk factors
spatial analysis
Urban areas
India
Kerala India
risk factors
Chronic obstructive pulmonary disease
geographic information system
spatial analysis
India
ISSN:0970-2113, 0974-598X
Online-Zugang:Volltext
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0970-2113
0974-598X
DOI:10.4103/lungindia.lungindia_454_21