NDLI: Exploring the intra-urban variations in the relationship among geographic accessibility to PHC services and socio-demographic factors

Please wait, while we are loading the content...

Spatial distribution of ischemic heart disease mortality in Rio Grande do Sul, Brazil

Envisioning a future for a spatial-health CyberGIS marketplace

Towards health-optimal routing in urban areas

Spatiotemporal analysis of dengue hemorrhagic fever and dengue shock syndrome incidence within Trinidad, West Indies

A multi-dimensional approach to measure the use of social media tools in accessing health information: a case study of Griffith University students, Queensland, Australia

World of workout: a contextual mobile RPG to encourage long term fitness

The impact of data quality on spatial analysis of cancer registry data: the example of missing stage at diagnosis and late-stage colorectal cancer

A web service for the dynamic linkage and visualisation of multivariate spatiotemporal information

Exploring the intra-urban variations in the relationship among geographic accessibility to PHC services and socio-demographic factors

A lightweight authorization mechanism for spatially enabled health data services

Cost-effectiveness of workplace closure and travel restriction for mitigating influenza outbreaks: a network-based simulation

Exploring the intra-urban variations in the relationship among geographic accessibility to PHC services and socio-demographic factors

Content Provider	ACM Digital Library
Author	Shah, Tayyab Ikram Bell, Scott
Abstract	In this study, we investigate the intra-urban variations in the relationships among various socio-demographic factors and geographical accessibility to primary health care (PHC) services using a local regression model. Geographic accessibility to PHC services is calculated at a local scale for two Canadian urban centers (Calgary, AB and Toronto, ON) using a three-step floating catchment area (3SFCA) method. Socio-demographic factors were derived from 2006 Canada census data. The regression analysis was performed using two different methods: 1) a single regression model for both cities together, using a regional dummy variable, and 2) separate models for each city. A similar modeling procedure was applied for both methods: first, a best Ordinary Least Squares (OLS) regression model was determined using a forward step-wise approach in SPSS software. Next, to test the spatial non-stationarity in the regression residuals, the best OLS model was repeated in ArcGIS. Further, to explore whether or not regression coefficients vary across space, we applied the geographically weighted regression (GWR) method with an adaptive spatial kernel. The GWR results exhibit the intra-urban variations in the relationships between socio-demographic factors and the accessibility score. A comparison of the GWR models demonstrates the benefit of local spatial regression in disaggregating the relationships between socio-demographic variables and the geographical accessibility to PHC services at a local scale; however, our results suggest that a more careful modeling approach is required when analysing the data with spatial effects.
Starting Page	68
Ending Page	76
Page Count	9
File Format	PDF
ISBN	9781450325295
DOI	10.1145/2535708.2535715
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Spatial non-stationarity Geographic accessibility Physician-to-population Urban geography Geographically weighted regression
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in