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贫民窟、空间与健康状况——居住形态与健康数据之间的关联

Slums, Space, and State of Health-A Link between Settlement Morphology and Health Data.

机构信息

Chair of Fluid Systems, Technical University of Darmstadt, Otto-Berndt-Str. 2, 64287 Darmstadt, Germany.

Klinikum Darmstadt, Grafenstraße 9, 64283 Darmstadt, Germany.

出版信息

Int J Environ Res Public Health. 2020 Mar 19;17(6):2022. doi: 10.3390/ijerph17062022.

DOI:10.3390/ijerph17062022
PMID:32204347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7143924/
Abstract

Approximately 1 billion slum dwellers worldwide are exposed to increased health risks due to their spatial environment. Recent studies have therefore called for the spatial environment to be introduced as a separate dimension in medical studies. Hence, this study investigates how and on which spatial scale relationships between the settlement morphology and the health status of the inhabitants can be identified. To this end, we summarize the current literature on the identification of slums from a geographical perspective and review the current literature on slums and health of the last five years (376 studies) focusing on the considered scales in the studies. We show that the majority of medical studies are restricted to certain geographical regions. It is desirable that the number of studies be adapted to the number of the respective population. On the basis of these studies, we develop a framework to investigate the relationship between space and health. Finally, we apply our methodology to investigate the relationship between the prevalence of slums and different health metrics using data of the global burden of diseases for different prefectures in Brazil on a subnational level.

摘要

全球约有 10 亿贫民窟居民由于其空间环境而面临更高的健康风险。因此,最近的研究呼吁将空间环境作为医学研究的一个单独维度引入。因此,本研究旨在探讨如何以及在何种空间尺度上可以确定居民居住形态与健康状况之间的关系。为此,我们从地理学角度总结了当前关于贫民窟识别的文献,并回顾了过去五年(376 项研究)中关于贫民窟和健康的文献,重点关注研究中考虑的尺度。我们发现,大多数医学研究仅限于某些地理区域。最好根据各自的人口数量来调整研究的数量。在此基础上,我们制定了一个框架来研究空间与健康之间的关系。最后,我们应用我们的方法来研究巴西不同州的全球疾病负担数据在次国家层面上的贫民窟流行率与不同健康指标之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/cec41df709dd/ijerph-17-02022-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/b62c0b41ec20/ijerph-17-02022-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/1a1e014b738a/ijerph-17-02022-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/c571a6a79a50/ijerph-17-02022-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/f47c5fbf0ad3/ijerph-17-02022-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/1ca3cf459426/ijerph-17-02022-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/e1cd4da5c5c4/ijerph-17-02022-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/9b2134efa2db/ijerph-17-02022-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/6082df7206be/ijerph-17-02022-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/67aa2de6a329/ijerph-17-02022-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/92148ee19c56/ijerph-17-02022-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/cec41df709dd/ijerph-17-02022-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/b62c0b41ec20/ijerph-17-02022-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/1a1e014b738a/ijerph-17-02022-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/c571a6a79a50/ijerph-17-02022-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/f47c5fbf0ad3/ijerph-17-02022-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/1ca3cf459426/ijerph-17-02022-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/e1cd4da5c5c4/ijerph-17-02022-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/9b2134efa2db/ijerph-17-02022-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/6082df7206be/ijerph-17-02022-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/67aa2de6a329/ijerph-17-02022-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/92148ee19c56/ijerph-17-02022-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335f/7143924/cec41df709dd/ijerph-17-02022-g009.jpg

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