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

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
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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