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
Department of Community Medicine, Government Medical College Hospital, Thiruvananthapuram, Kerala, India.
Department of Pulmonary Medicine, Government Medical College Hospital, Thrissur, Kerala, India.
Lung India. 2022 Mar-Apr;39(2):110-115. doi: 10.4103/lungindia.lungindia_454_21.
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.
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.
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.
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.
慢性阻塞性肺疾病(COPD)是印度第二大死因。本研究的目的是在印度南部特里凡得琅的一个半城市地区,利用地理信息系统(GIS)绘制COPD病例及其危险因素的分布图,并确定它们之间的关联。
本基于社区的横断面描述性研究(n = 494)在一个初级卫生中心的分中心区域进行。绘制了地理位置图,并通过普查方法对所有纳入的研究对象进行了COPD人群筛查问卷调查。询问了终生柴草暴露情况(人-小时)和吸烟情况,并使用便携式差分全球定位系统绘制了与道路的距离图。使用ArcGIS软件通过克里金法和热点分析评估与COPD的关联。
COPD的患病率(6.5%)与全国患病率估计值相当。空间地图显示,COPD病例聚集在柴草暴露量较高、吸烟暴露量较大以及离当地道路较近的家庭所在区域。获得了一个特别的高风险聚集区,该聚集区与所有危险因素均有显著关联。
GIS技术有助于识别COPD病例及其环境危险因素的空间聚集情况,使其成为COPD针对性干预的重要工具。