Comparative Analysis of Deaths and DALYs associated with Air Pollution for SAARC Countries Using Support Vector Machine Regression Model

Abstract

This study aims to see the impact of three crucial elements of pollution, i.e., Ambient PM pollution, Ambient Ozone Pollution, and HAP on DALYs and death rates in SAARC countries. The conceptual framework of this study describes that Ambient PM Pollution, Ambient Ozone Pollution, and HAP are the three most destructive sources of pollution that influence human health and generate the burden of health issues, increase death rates, and become the cause of other social problems. All seven countries of SAARC are underdeveloped and facing a lot of economic and social problems. Polluting substances in the environment are badly affecting human health. Health facilities are limited in these countries but factors that negatively affect health many more in numbers. Polluted air is one of the alarming factors among the other negatively impacting factors. For determining the appropriate model and accurately forecasting deaths and DALYs due to air pollution factors such as Ambient Particulate Matter Pollution, Household Air Pollution, and Ambient Ozone Pollution using linear regression, SVR and Tuned SVR models. The results shows that Death and DALYs rates in SARRC countries due to air pollution are positively perceived. This research will be helpful for local authorities and policymakers to control air pollution and plan accordingly in upcoming years.