Abstract
Frequent Exposure to Particulate Matter (PM) 2.5 has adverse effects on human health and increased risk for many diseases associated with Cardiovascular disease (CVD) cancer, diabetes, or chronic Respiratory disease (CRD), diabetes PM 2.5 have been emerged as public health crisis risks and potential co-relationship with early death. We aimed to determine the diseases as CVD, cancer, diabetes or CRD and mortality associated with poor air quality index among Nepalese population and PM 2.5 by using an autoregressive distributed lag (ARDL) approach combined with geographic information system (GIS) mapping for health risk management. Using data of air pollution from year 1995 to 2020 from World Bank and National datasets of Nepal, data of air quality index and incidence rates of mortality age group of 30 to 70 years old male and female was analyzed through (ARDL) to establish the empirical theory through timeseries data of the examined variables. ArcGIS was used to design maps to highlight the areas with varying air quality index and diseases associated with mortality cases among population, Results: There is significant short run causal effects and long run association of PM 2.5 and mortality incidence in Nepal. Therefore, the population of Nepal with CVD, cancer, diabetes or CRD is significantly affected by PM 2.5. Results suggest a significant association of ambient air pollution with health impact and mortality incidence from age 30 to 70 years population. Further research with GIS input can minimize the health impacts caused by air pollution .
Details
Presentation Type
Theme
Human Impacts and Responsibility
KEYWORDS
PM 2.5, Mortality, ARDL, GIS
