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Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios

Rauch, Sebastian and Taubenböck, Hannes and Knopp, Christian and Rauh, Jürgen (2021) Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios. International Journal of Health Geographics, 20 (32), pp. 1-15. Springer Nature. doi: 10.1186/s12942-021-00284-y. ISSN 1476-072X.

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Official URL: https://ij-healthgeographics.biomedcentral.com/articles/10.1186/s12942-021-00284-y

Abstract

Purpose: Rapid accessibility of (intensive) medical care can make the difference between life and death. Initial care in case of strokes is highly dependent on the location of the patient and the traffic situation for supply vehicles. In this methodologically oriented paper we want to determine the inequivalence of the risks in this respect. Methods: Using GIS we calculate the driving time between Stroke Units in the district of Münster, Germany for the population distribution at day- & nighttime. Eight different speed scenarios are considered. In order to gain the highest possible spatial resolution, we disaggregate reported population counts from administrative units with respect to a variety of factors onto building level. Results: The overall accessibility of urban areas is better than in less urban districts using the base scenario. In that scenario 6.5% of the population at daytime and 6.8% at nighttime cannot be reached within a 30-min limit for the first care. Assuming a worse traffic situation, which is realistic at daytime, 18.1% of the population fail the proposed limit. Conclusions: In general, we reveal inequivalence of the risks in case of a stroke depending on locations and times of the day. The ability to drive at high average speeds is a crucial factor in emergency care. Further important factors are the different population distribution at day and night and the locations of health care facilities. With the increasing centralization of hospital locations, rural residents in particular will face a worse accessibility situation.

Item URL in elib:https://elib.dlr.de/143232/
Document Type:Article
Title:Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Rauch, Sebastiansebastian.rauch (at) uni-wuerzburg.deUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.dehttps://orcid.org/0000-0003-4360-9126
Knopp, ChristianChristian.Knopp (at) dlr.deUNSPECIFIED
Rauh, JürgenUniversität WürzburgUNSPECIFIED
Date:June 2021
Journal or Publication Title:International Journal of Health Geographics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:20
DOI :10.1186/s12942-021-00284-y
Page Range:pp. 1-15
Publisher:Springer Nature
ISSN:1476-072X
Status:Published
Keywords:Accessibility analysis, High resolution population data, Public health
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 > Geo Risks and Civil Security
Deposited By: Taubenböck, Dr. Hannes
Deposited On:26 Jul 2021 14:22
Last Modified:26 Jul 2021 14:22

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