Strategic Decision Making for Environmental Health Impact: The 5-I Model

Chinnaswamy, AK and Marshall, IM and Garcia-Perez, A and Naguib, RNG (2018) Strategic Decision Making for Environmental Health Impact: The 5-I Model. In: 6th International Conference on Innovation and Entrepreneurship 2018 (ICIE18), 5-6 March 2018, Washington DC, USA. (Accepted for Publication)

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This study highlights the significant impact of Knowledge transfer, knowledge sharing/management in the mitigation of cardiovascular diseases (CVD) health risks due to pollution. It is well acknowledged that the application of Knowledge Management (KM) techniques would synchronise disjointed knowledge in a public health domain and assist a more co-ordinated approach of tackling public health issues. This paper presents an empirical model that advocates an integrated approach to generate a strategic knowledge driven decision support system to enable knowledge management for the mitigation of air pollution induced CVD health.

There is limited research output from Asia and in particular, from India on studies of the deleterious effects of air pollution on CVD. This research investigated the barriers in developing countries and used a spatiotemporal methodology to assess the effects of air pollution on CVD by developing an application based on a GIS platform. Choosing Bangalore as a case study area, secondary data from various governmental departments that included demographic data from the 2001 and 2011 census, air pollution data from six fixed monitoring stations and mortality data of over one million death records were obtained. Data quality assessment was carried out on these datasets that resulted in the recommendation of a generalizable data quality framework to enable better data collection that will aid in strengthening health development policies.

An Environmental Health Information system application based on GIS platform was developed specifically for Bangalore and with the characteristics of the datasets available. The data was analysed using spatial and non-spatial techniques. Results showed that levels of PM10 were of concern to the city with all areas having either high or critical levels of pollution. CVD deaths also were of concern contributing to almost 40% of total mortality. The potential years of life lost (PYLL), which is an estimate of the average years a person would have lived if he or she had not died prematurely was calculated for the years from 2010 to 2013; CVDs were responsible for 25% of the total of potential years of life lost. The potential value of lifetime earnings were computed that highlighted a loss in excess of 8 billion INR over the four years. These potential years lost is an important factor to consider, as preventive measures taken by the Government will result in a significant economic impact on the city.

The limitations of few monitoring stations were overcome by using spatial interpolation techniques such as Inverse Distance Weighted interpolation technique. The performance of the interpolation was tested using cross-validation techniques and the results revealed that Bangalore city would benefit from increased measuring stations for PM10. Logistic regression was conducted that highlighted pollution especially PM10 was a likely predictor of CVD in the city. Spatial analysis was conducted and included buffering, overlay maps, queries and Hotspot analysis highlighting the zone hotspots.

The results from the research guided the development of a novel model that would assist other similar developing cities to assess the effects of air pollution on CVD. The impetus is that based on knowledge sharing and management, intervention policies and programs may be implemented to inform research and practice which will ultimately have social, economic and health impact on the population. The model proposes a valuable strategic planning and management resource to the relevant stakeholders that will ultimately prevent millions of deaths and enhance overall quality of life in developing nations.

Item Type: Conference or Workshop Item (Paper)
Faculty / Department: Faculty of Science > Mathematics and Computer Science
Depositing User: Raouf Naguib
Date Deposited: 05 Feb 2018 12:03
Last Modified: 31 Mar 2018 00:15

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