Role of Geographic Information System in Assessing Determinants of Cardiovascular Disease: An Experience From a Low- and Middle-Income Country. (May 2018)

• Record Type: Journal Article
• Authors: Valamparampil, Mathew Joseph; Mohan, Ananth; Jose, Chinu; Sadheesan, Deepthi Kottassery; Aby, Jemin Jose; Vasudevakaimal, Prasannakumar; Varghese, Sara; Surendrannair, Anish Tekkumkara; Ashokan, Achu Laila; Madhusoodhanan, Resmi Santhakumari; Ilyas, Insija Selene; Rajeevan, Amjith; Karthikeyan, Sreekanth Balakrishnan; Devadhas, Krishna Sulochana; Raghunath, Rajesh; Surendran, Sethulekshmi; Muraleedharanpillai, Harikrishnan; Nujum, Zinia Thajudeen
• Is Part Of: Asia-Pacific journal of public health. Volume 30:Number 4(2018)
• Page Start: 351
• Page End: 360
• Publication Date: 2018-05
• Subjects: GIS -- cardiovascular diseases -- pH -- hypothyroidism -- diabetes mellitus; Public health -- Pacific Area -- Periodicals; Public health -- Asia -- Periodicals; 362.1095
• DOI: 10.1177/1010539518768333
• Languages: English
• ISSNs: 1010-5395

Abstract

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the world. The determinants of CVD in an urban population using conventional and geographic information system techniques were attempted as a community-based census-type cross-sectional study in Kerala, India, among 1649 individuals residing in 452 households. Sociodemographic details, risk factor exposures, and self-reported disease prevalence were determined. Location of houses, wells from which subjects drew drinking water, and distances of the house from the outer road (proxy for air pollution) were mapped using differential global positioning system and pH of water samples determined. Prevalence of CVD was 5.8%. Significant predictors of CVD were male gender, diabetes mellitus, hypertension, and hypothyroidism. Statistically significant spatial association was found between CVD and groundwater pH. Geographic information system technology is useful in identification of spatial clustering and disease hotspots for designing preventive strategies targeting CVD.