Friesen, John ; Friesen, Victoria ; Dietrich, Ingo ; Pelz, Peter F. (2023)
Slums, Space, and State of Health — A Link between Settlement Morphology and Health Data.
In: International Journal of Environmental Research and Public Health, 2020, 17 (6)
doi: 10.26083/tuprints-00016152
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Slums, Space, and State of Health — A Link between Settlement Morphology and Health Data |
Language: | English |
Date: | 5 December 2023 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2020 |
Place of primary publication: | Basel |
Publisher: | MDPI |
Journal or Publication Title: | International Journal of Environmental Research and Public Health |
Volume of the journal: | 17 |
Issue Number: | 6 |
Collation: | 28 Seiten |
DOI: | 10.26083/tuprints-00016152 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
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. |
Uncontrolled Keywords: | slums, informal settlements, remote sensing, global burden, health data |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-161526 |
Additional Information: | This article belongs to the Section Global Health |
Classification DDC: | 600 Technology, medicine, applied sciences > 610 Medicine and health 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
Divisions: | 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) (since 01.10.2006) |
Date Deposited: | 05 Dec 2023 13:58 |
Last Modified: | 07 Dec 2023 10:58 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/16152 |
PPN: | 513686908 |
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