Geospatial insights into chronic bronchitis: Evaluating hotspots and environmental factors in MUDHRA-cohort of Mysuru district, India

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Clinical Epidemiology and Global Health Pub Date : 2025-02-13 DOI:10.1016/j.cegh.2025.101921

Manjunatha M.C , Mahesh P.A , Madhu B , Sawant Sushant Anil , Karthik C.B

{"title":"Geospatial insights into chronic bronchitis: Evaluating hotspots and environmental factors in MUDHRA-cohort of Mysuru district, India","authors":"Manjunatha M.C , Mahesh P.A , Madhu B , Sawant Sushant Anil , Karthik C.B","doi":"10.1016/j.cegh.2025.101921","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Geospatial techniques are critical for identifying potential environmental risk factors and implementing effective prevention strategies for chronic diseases. The <strong>M</strong>ysuru st<strong>U</strong>dies of <strong>D</strong>eterminants of <strong>H</strong>ealth in <strong>R</strong>ural <strong>A</strong>dults (MUDHRA)-Cohort was a notable study that systematically investigated the prevalence and risk factors associated with Chronic Bronchitis (CB) in 16 randomly selected villages of Mysuru District between 2006 and 2009. The objective of this study is to spatially visualize the highest prevalence of MUDHRA-CB at village level, and identifying potential environmental risk factors.</div></div><div><h3>Methods</h3><div>An analysis was conducted on a total of 8457 individuals aged 30 years and older to ascertain the presence of chronic bronchitis symptoms. To assess the prevalence of chronic bronchitis, a door-to-door survey was conducted using international Burden of Obstructive Lung Disease (BOLD) study questionnaires. The thematic map of chronic bronchitis burden was generated using Geographic Information System (GIS) tools and overlaid on the land use and land cover patterns extracted from Remote Sensing (RS) satellite images.</div></div><div><h3>Results</h3><div>The thematic map identified Karya village has having the highest prevalence (14.82 %), while there were no reported cases of chronic bronchitis in Alatthuru village. The land use land cover map generated showed the presence of a mine located around 310 m from Karya village. Inhalation of dust particles from the mine operations and wind direction could be attributed to the higher prevalence of chronic bronchitis.</div></div><div><h3>Conclusion</h3><div>Spatial epidemiological research studies that incorporate RS, GIS, and local field studies may aid in identifying potential environmental factors associated with a higher risk of chronic conditions.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"32 ","pages":"Article 101921"},"PeriodicalIF":2.3000,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Epidemiology and Global Health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213398425000107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}

引用次数: 0

Abstract

Background

Geospatial techniques are critical for identifying potential environmental risk factors and implementing effective prevention strategies for chronic diseases. The Mysuru stUdies of Determinants of Health in Rural Adults (MUDHRA)-Cohort was a notable study that systematically investigated the prevalence and risk factors associated with Chronic Bronchitis (CB) in 16 randomly selected villages of Mysuru District between 2006 and 2009. The objective of this study is to spatially visualize the highest prevalence of MUDHRA-CB at village level, and identifying potential environmental risk factors.

Methods

An analysis was conducted on a total of 8457 individuals aged 30 years and older to ascertain the presence of chronic bronchitis symptoms. To assess the prevalence of chronic bronchitis, a door-to-door survey was conducted using international Burden of Obstructive Lung Disease (BOLD) study questionnaires. The thematic map of chronic bronchitis burden was generated using Geographic Information System (GIS) tools and overlaid on the land use and land cover patterns extracted from Remote Sensing (RS) satellite images.

Results

The thematic map identified Karya village has having the highest prevalence (14.82 %), while there were no reported cases of chronic bronchitis in Alatthuru village. The land use land cover map generated showed the presence of a mine located around 310 m from Karya village. Inhalation of dust particles from the mine operations and wind direction could be attributed to the higher prevalence of chronic bronchitis.

Conclusion

Spatial epidemiological research studies that incorporate RS, GIS, and local field studies may aid in identifying potential environmental factors associated with a higher risk of chronic conditions.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Clinical Epidemiology and Global Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-

CiteScore

4.60

自引率

7.70%

发文量

218

审稿时长

66 days

期刊介绍： Clinical Epidemiology and Global Health (CEGH) is a multidisciplinary journal and it is published four times (March, June, September, December) a year. The mandate of CEGH is to promote articles on clinical epidemiology with focus on developing countries in the context of global health. We also accept articles from other countries. It publishes original research work across all disciplines of medicine and allied sciences, related to clinical epidemiology and global health. The journal publishes Original articles, Review articles, Evidence Summaries, Letters to the Editor. All articles published in CEGH are peer-reviewed and published online for immediate access and citation.