globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0119190
论文题名:
Location-Allocation and Accessibility Models for Improving the Spatial Planning of Public Health Services
作者: Gina Polo; C. Mera Acosta; Fernando Ferreira; Ricardo Augusto Dias
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-3-16
卷: 10, 期:3
语种: 英语
英文关键词: Dogs ; Cats ; Public and occupational health ; Population density ; Colombia ; Urban areas ; Geographic information systems ; Health care providers
英文摘要: This study integrated accessibility and location-allocation models in geographic information systems as a proposed strategy to improve the spatial planning of public health services. To estimate the spatial accessibility, we modified the two-step floating catchment area (2SFCA) model with a different impedance function, a Gaussian weight for competition among service sites, a friction coefficient, distances along a street network based on the Dijkstra’s algorithm and by performing a vectorial analysis. To check the accuracy of the strategy, we used the data from the public sterilization program for the dogs and cats of Bogot´a, Colombia. Since the proposed strategy is independent of the service, it could also be applied to any other public intervention when the capacity of the service is known. The results of the accessibility model were consistent with the sterilization program data, revealing that the western, central and northern zones are the most isolated areas under the sterilization program. Spatial accessibility improvement was sought by relocating the sterilization sites using the maximum coverage with finite demand and the p-median models. The relocation proposed by the maximum coverage model more effectively maximized the spatial accessibility to the sterilization service given the non-uniform distribution of the populations of dogs and cats throughout the city. The implementation of the proposed strategy would provide direct benefits by improving the effectiveness of different public health interventions and the use of financial and human resources.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0119190&type=printable
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/20723
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

Files in This Item:
File Name/ File Size Content Type Version Access License
journal.pone.0119190.PDF(5473KB)期刊论文作者接受稿开放获取View Download

作者单位: Laboratory of Epidemiology and Biostatistics. Department of Preventive Veterinary Medicine and Animal Health. University of São Paulo, São Paulo, Brasil;Institute of Physics. University of São Paulo, São Paulo, Brasil;Laboratory of Epidemiology and Biostatistics. Department of Preventive Veterinary Medicine and Animal Health. University of São Paulo, São Paulo, Brasil;Laboratory of Epidemiology and Biostatistics. Department of Preventive Veterinary Medicine and Animal Health. University of São Paulo, São Paulo, Brasil

Recommended Citation:
Gina Polo,C. Mera Acosta,Fernando Ferreira,et al. Location-Allocation and Accessibility Models for Improving the Spatial Planning of Public Health Services[J]. PLOS ONE,2015-01-01,10(3)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Gina Polo]'s Articles
[C. Mera Acosta]'s Articles
[Fernando Ferreira]'s Articles
百度学术
Similar articles in Baidu Scholar
[Gina Polo]'s Articles
[C. Mera Acosta]'s Articles
[Fernando Ferreira]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Gina Polo]‘s Articles
[C. Mera Acosta]‘s Articles
[Fernando Ferreira]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: journal.pone.0119190.PDF
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.