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Modeling population access to New Zealand public hospitals
This paper demonstrates a method for estimating the geographical accessibility of public hospitals. Cost path analysis was used to determine the minimum travel time and distance to the closest hospital via a road network. This analysis was applied to 38,000 census enumeration district centroids in N...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2002
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC149398/ https://www.ncbi.nlm.nih.gov/pubmed/12459048 http://dx.doi.org/10.1186/1476-072X-1-3 |
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author | Brabyn, Lars Skelly, Chris |
author_facet | Brabyn, Lars Skelly, Chris |
author_sort | Brabyn, Lars |
collection | PubMed |
description | This paper demonstrates a method for estimating the geographical accessibility of public hospitals. Cost path analysis was used to determine the minimum travel time and distance to the closest hospital via a road network. This analysis was applied to 38,000 census enumeration district centroids in New Zealand allowing geographical access to be linked to local populations. Average time and distance statistics have been calculated for local populations by modeling the total travel of a population if everybody visited a hospital once. These types of statistics can be generated for different population groups and enable comparisons to be made between regions. This study has shown that the northern and southern parts of New Zealand have high average travel times to hospital services. |
format | Text |
id | pubmed-149398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2002 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-1493982003-02-25 Modeling population access to New Zealand public hospitals Brabyn, Lars Skelly, Chris Int J Health Geogr Research This paper demonstrates a method for estimating the geographical accessibility of public hospitals. Cost path analysis was used to determine the minimum travel time and distance to the closest hospital via a road network. This analysis was applied to 38,000 census enumeration district centroids in New Zealand allowing geographical access to be linked to local populations. Average time and distance statistics have been calculated for local populations by modeling the total travel of a population if everybody visited a hospital once. These types of statistics can be generated for different population groups and enable comparisons to be made between regions. This study has shown that the northern and southern parts of New Zealand have high average travel times to hospital services. BioMed Central 2002-11-12 /pmc/articles/PMC149398/ /pubmed/12459048 http://dx.doi.org/10.1186/1476-072X-1-3 Text en Copyright © 2002 Brabyn and Skelly; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
spellingShingle | Research Brabyn, Lars Skelly, Chris Modeling population access to New Zealand public hospitals |
title | Modeling population access to New Zealand public hospitals |
title_full | Modeling population access to New Zealand public hospitals |
title_fullStr | Modeling population access to New Zealand public hospitals |
title_full_unstemmed | Modeling population access to New Zealand public hospitals |
title_short | Modeling population access to New Zealand public hospitals |
title_sort | modeling population access to new zealand public hospitals |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC149398/ https://www.ncbi.nlm.nih.gov/pubmed/12459048 http://dx.doi.org/10.1186/1476-072X-1-3 |
work_keys_str_mv | AT brabynlars modelingpopulationaccesstonewzealandpublichospitals AT skellychris modelingpopulationaccesstonewzealandpublichospitals |