Presentation Title

Geographical Information System for Elderly population for Emergency Preparedness

Faculty Mentor

Rahul Bhaskar

Start Date

18-11-2017 2:00 PM

End Date

18-11-2017 2:15 PM

Location

9-245

Session

Engineering/CS 2

Type of Presentation

Oral Talk

Subject Area

engineering_computer_science

Abstract

The socio-economic conditions, chronic illness, and old age make senior citizens highly vulnerable to natural or man-made disasters and hazards. They face severe consequences than the younger population due to their inability to react with nimbleness in an emergency. In addition, the unavailability and inaccessibility of healthcare resources during emergency deprives the chances of saving them. This paper establishes measures such as Emergency Vulnerability Index (EVI) and Healthcare Emergency Accessibility index (HEAI) to assess the risk associated with the frail elderly population living in a particular region based on their vulnerability and healthcare reachability. By integrating Risk Adjustment Factor (RAF) used by the Centre for Medicare and Medicaid Services (CMS) with the Social Vulnerability Index (SVI) of a geographical location, we determine the emergency vulnerability of the people over the age of 65 years. Further, the availability of healthcare facilities or first responders in 30 minutes’ drive distance from the emergency hit regions is incorporated into the model to build Healthcare Accessibility Index. Finally, a Geographic Information Systems (GIS) approach was applied to identify the spatial distribution of “at risk frail elderly population” in a region. Overall, we have built a Decision Support System (DSS) that can be used by healthcare facilities and first respondents during the emergency to save the frail elderly. This whole concept was applied to Los Angeles County and the results were studied. Results state that combining health risk, social vulnerability, healthcare availability, and Geographical Information System plays a significant role in assessing the risk associated with a region. This system can help officials to plan effectively for a public health emergency by mapping the potential risk associated with 3 access to available healthcare resources in a region.

Summary of research results to be presented

This research has 3 contibutions:

First, the calculation of Emergency Vulnerability Index, EVI, combined with the Social Vulnerability Index, SVI, creates a robust vulnerability index for specific cases. The risk score that is available from the Center for Medicare and Medicaid Services allows the health condition to be integrated into any vulnerability index.. The application of EVI spans beyond Medicare and Medicaid. Given other medical risk factors calculation, EVI could potentially be implemented to facilitate planning and coordination when an emergency occurs.

Second, existing healthcare accessibility literature only takes into consideration one type of medical supply. In a case of emergency, there are two types of medical supplies: the first responders and the hospitals where patients arrive. Thus, the healthcare accessibility algorithm in this paper integrates three travel points: from first responders’ location to population locations and ultimately to hospitals. The inclusion of multiple origins and destinations show the importance of location-based decision making in disaster planning and response. Third, the disaster planning Decision Support System (DSS) proposed in this paper is a novel approach to combine both health risks and social vulnerability. With the spatial overview of the current resources and the health conditions of the population, Spatial DSS is able to provide policy makers and official a tool to triangulate and locate the most needed area to divert first respondents in case of an emergency.

Third, the disaster planning DSS proposed in this paper is a novel approach to combine both health risks and social vulnerability. With the spatial overview of the current resources and the health conditions of the population, Spatial DSS is able to provide policy makers and official a tool to triangulate and locate the most needed area to divert first respondents in case of an emergency.

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Nov 18th, 2:00 PM Nov 18th, 2:15 PM

Geographical Information System for Elderly population for Emergency Preparedness

9-245

The socio-economic conditions, chronic illness, and old age make senior citizens highly vulnerable to natural or man-made disasters and hazards. They face severe consequences than the younger population due to their inability to react with nimbleness in an emergency. In addition, the unavailability and inaccessibility of healthcare resources during emergency deprives the chances of saving them. This paper establishes measures such as Emergency Vulnerability Index (EVI) and Healthcare Emergency Accessibility index (HEAI) to assess the risk associated with the frail elderly population living in a particular region based on their vulnerability and healthcare reachability. By integrating Risk Adjustment Factor (RAF) used by the Centre for Medicare and Medicaid Services (CMS) with the Social Vulnerability Index (SVI) of a geographical location, we determine the emergency vulnerability of the people over the age of 65 years. Further, the availability of healthcare facilities or first responders in 30 minutes’ drive distance from the emergency hit regions is incorporated into the model to build Healthcare Accessibility Index. Finally, a Geographic Information Systems (GIS) approach was applied to identify the spatial distribution of “at risk frail elderly population” in a region. Overall, we have built a Decision Support System (DSS) that can be used by healthcare facilities and first respondents during the emergency to save the frail elderly. This whole concept was applied to Los Angeles County and the results were studied. Results state that combining health risk, social vulnerability, healthcare availability, and Geographical Information System plays a significant role in assessing the risk associated with a region. This system can help officials to plan effectively for a public health emergency by mapping the potential risk associated with 3 access to available healthcare resources in a region.