The long-term effects of CVDs on economic development: the case of Bangalore

The aim of this paper is to demonstrate the economic and health burden of Cardiovascular diseases (CVDs) in the context of Bangalore during the period 2010-2013. A data set containing in excess of 1 million historic records corresponding to all-cause mortality was obtained from the central repository data register. After a data quality assessment, a dataset of n=183,893 was obtained. Spatial analysis was carried out to highlight the hotspots of CVD. Potential Years of Life Lost due to CVD and Present Value of Lifetime Earnings were computed. CVDs were responsible for 25% of the total of potential years of life lost. The potential value of lifetime earnings highlighted a loss in excess of 8 billion INR over the four years. CVD poses a tremendous challenge for socio-economic development, and there is an urgent need for a strategic action to promote CVD prevention and enable a sustainable development for the economy

Data quality issues in the GIS modelling of air pollution and cardiovascular mortality in Bangalore

Cardiovascular disease (CVD) is the world\u27s number one cause of mortality. Research in recent years has begun to illustrate a significant association between CVD and air pollution. As most of these studies employed traditional statistics, cross-sectional or meta-analysis methods, a study undertaken by the authors was designed to investigate how a geographical information system (GIS) could be used to develop a more efficient spatio-temporal method of analysis than the currently existing methods mainly based on statistical inference. Using Bangalore, India, as a case study, demographic, environmental and CVD mortality data was sought from the city. However, critical deficiencies in the quality of the environmental data and mortality records were identified and quantified. This paper discusses the shortcomings in the quality of mortality data, together with the development of a framework based on WHO guidelines to improve the defects, henceforth considerably improving data quality. Copyright © 2015 Inderscience Enterprises Ltd

Data quality issues in the GIS modelling of air pollution and cardiovascular mortality in Bangalore

Cardiovascular disease (CVD) is the world’s number one cause of\ud mortality. Research in recent years has begun to illustrate a significant association between CVD and air pollution. As most of these studies employed traditional statistics, cross-sectional or meta-analysis methods, a study undertaken by the authors was designed to investigate how a geographical information system (GIS) could be used to develop a more efficient spatio-temporal method of analysis than the currently existing methods mainly based on statistical inference. Using Bangalore, India, as a case study, demographic, environmental and CVD mortality data was sought from the city. However, critical deficiencies in the quality of the environmental data and mortality records were identified and quantified. This paper discusses the shortcomings in the quality of mortality data, together with the development of a framework based on WHO guidelines to improve the defects, henceforth considerably improving data quality