Spatio-Temporal Analysis of Spatial Accessibility to Primary Health Care in Bhutan

Geographic information systems (GIS) can be effectively utilized to carry out spatio-temporal analysis of spatial accessibility to primary healthcare services. Spatial accessibility to primary healthcare services is commonly measured using floating catchment area models which are generally defined...

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Bibliographic Details
Main Authors: Sonam Jamtsho, Robert Corner, Ashraf Dewan
Format: Article
Language:English
Published: MDPI AG 2015-09-01
Series:ISPRS International Journal of Geo-Information
Subjects:
GIS
Online Access:http://www.mdpi.com/2220-9964/4/3/1584
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spelling doaj-e9ba673de33c4c7e9d40238f45a847592020-11-24T21:21:08ZengMDPI AGISPRS International Journal of Geo-Information2220-99642015-09-01431584160410.3390/ijgi4031584ijgi4031584Spatio-Temporal Analysis of Spatial Accessibility to Primary Health Care in BhutanSonam Jamtsho0Robert Corner1Ashraf Dewan2Department of Spatial sciences, Curtin University, Perth, WA 6000, AustraliaDepartment of Spatial sciences, Curtin University, Perth, WA 6000, AustraliaDepartment of Spatial sciences, Curtin University, Perth, WA 6000, AustraliaGeographic information systems (GIS) can be effectively utilized to carry out spatio-temporal analysis of spatial accessibility to primary healthcare services. Spatial accessibility to primary healthcare services is commonly measured using floating catchment area models which are generally defined with three variables; namely, an attractiveness component of the service centre, travel time or distance between the locations of the service centre and the population, and population demand for healthcare services. The nearest-neighbour modified two-step floating catchment area (NN-M2SFCA) model is proposed for computing spatial accessibility indices for the entire country. Accessibility values from 2010 to 2013 for Bhutan were analysed both spatially and temporally by producing accessibility ranking maps, plotting Lorenz curves, and conducting spatial clustering analysis. The spatial accessibility indices of the 205 sub-districts show great disparities in healthcare accessibility in the country. The mean- and median-based classification results indicate that, in 2013, 24 percent of Bhutan’s population have poor access to primary healthcare services, 66 percent of the population have medium-level access, and 10 percent have good access.http://www.mdpi.com/2220-9964/4/3/1584spatial accessibilityprimary healthcareBhutanfloating catchment areaGIS
collection DOAJ
language English
format Article
sources DOAJ
author Sonam Jamtsho
Robert Corner
Ashraf Dewan
spellingShingle Sonam Jamtsho
Robert Corner
Ashraf Dewan
Spatio-Temporal Analysis of Spatial Accessibility to Primary Health Care in Bhutan
ISPRS International Journal of Geo-Information
spatial accessibility
primary healthcare
Bhutan
floating catchment area
GIS
author_facet Sonam Jamtsho
Robert Corner
Ashraf Dewan
author_sort Sonam Jamtsho
title Spatio-Temporal Analysis of Spatial Accessibility to Primary Health Care in Bhutan
title_short Spatio-Temporal Analysis of Spatial Accessibility to Primary Health Care in Bhutan
title_full Spatio-Temporal Analysis of Spatial Accessibility to Primary Health Care in Bhutan
title_fullStr Spatio-Temporal Analysis of Spatial Accessibility to Primary Health Care in Bhutan
title_full_unstemmed Spatio-Temporal Analysis of Spatial Accessibility to Primary Health Care in Bhutan
title_sort spatio-temporal analysis of spatial accessibility to primary health care in bhutan
publisher MDPI AG
series ISPRS International Journal of Geo-Information
issn 2220-9964
publishDate 2015-09-01
description Geographic information systems (GIS) can be effectively utilized to carry out spatio-temporal analysis of spatial accessibility to primary healthcare services. Spatial accessibility to primary healthcare services is commonly measured using floating catchment area models which are generally defined with three variables; namely, an attractiveness component of the service centre, travel time or distance between the locations of the service centre and the population, and population demand for healthcare services. The nearest-neighbour modified two-step floating catchment area (NN-M2SFCA) model is proposed for computing spatial accessibility indices for the entire country. Accessibility values from 2010 to 2013 for Bhutan were analysed both spatially and temporally by producing accessibility ranking maps, plotting Lorenz curves, and conducting spatial clustering analysis. The spatial accessibility indices of the 205 sub-districts show great disparities in healthcare accessibility in the country. The mean- and median-based classification results indicate that, in 2013, 24 percent of Bhutan’s population have poor access to primary healthcare services, 66 percent of the population have medium-level access, and 10 percent have good access.
topic spatial accessibility
primary healthcare
Bhutan
floating catchment area
GIS
url http://www.mdpi.com/2220-9964/4/3/1584
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