Sogno, Patrick and Künzer, Claudia and Bachofer, Felix and Traidl-Hoffmann, Claudia (2022) Earth observation for exposome mapping of Germany: analyzing environmental factors relevant to non-communicable diseases. International Journal of Applied Earth Observation and Geoinformation, 114 (103084), pp. 1-12. Elsevier. doi: 10.1016/j.jag.2022.103084. ISSN 1569-8432.
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Abstract
Non-communicable diseases - NCDs - (e.g., asthma, cancer, or diabetes) are a major concern for society and medicine. According to the World Health Organization, NCDs are responsible for > 70 % of global premature deaths. Apart from increasing mortality, these diseases strain one’s immune system which leads to higher susceptibility to transmittable diseases. NCD-susceptibility depends on the genome (genetic predisposition), behavior (lifestyle), and exposome of a person. The exposome is a composition of environmental parameters such as exposure to air pollution, noise, extreme temperatures, or surrounding greenness. Using Earth Observation data, the majority of factors making up the exposome can be monitored over long periods of time at high resolution and with nearly global coverage. Still, exposome maps and products communicating NCD risk are not widely available. In this study, we utilize eight land surface datasets (distance to green spaces, distance to blue spaces, temperature, noise from industry, as well as road, rail, and air traffic, and light pollution) as well as two air pollution datasets (PM2.5 and NO2) to map health-relevant environmental exposure. We use an established cumulative approach and incorporate exposure-response relationships from scientific literature to map environments that impact public health for the complete area of Germany. We present results communicating exposure relevant to myocardial infarction risk. The methodology is transferable to other NCDs and other areas of interest. In the context of the global health burden from NCDs and ongoing global change, this approach supplies findings for communicating health-relevant exposure.
| Item URL in elib: | https://elib.dlr.de/189803/ | ||||||||||||||||||||
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| Document Type: | Article | ||||||||||||||||||||
| Title: | Earth observation for exposome mapping of Germany: analyzing environmental factors relevant to non-communicable diseases | ||||||||||||||||||||
| Authors: |
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| Date: | 31 October 2022 | ||||||||||||||||||||
| Journal or Publication Title: | International Journal of Applied Earth Observation and Geoinformation | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||
| Gold Open Access: | Yes | ||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||
| Volume: | 114 | ||||||||||||||||||||
| DOI: | 10.1016/j.jag.2022.103084 | ||||||||||||||||||||
| Page Range: | pp. 1-12 | ||||||||||||||||||||
| Publisher: | Elsevier | ||||||||||||||||||||
| ISSN: | 1569-8432 | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | Earth observation; Remote sensing; Public health; Green space; Noise pollution; Light pollution; Air pollution; Exposure; Non-communicable diseases; Myocardial infarction | ||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||
| DLR - Research theme (Project): | R - Remote Sensing and Geo Research | ||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||
| Institutes and Institutions: | German Remote Sensing Data Center > Land Surface Dynamics | ||||||||||||||||||||
| Deposited By: | Sogno, Patrick | ||||||||||||||||||||
| Deposited On: | 10 Nov 2022 12:01 | ||||||||||||||||||||
| Last Modified: | 10 Nov 2022 12:01 |
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