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1000 Titel
  • Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios
1000 Autor/in
  1. Rauch, Sebastian |
  2. Taubenböck, H. |
  3. Knopp, C. |
  4. Rauh, J. |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-06-29
1000 Erschienen in
1000 Quellenangabe
  • 20(1):31
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12942-021-00284-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8243862/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal Accessibility analysis
lokal Stroke/diagnosis [MeSH]
lokal Stroke/epidemiology [MeSH]
lokal Public health
lokal Stroke/therapy [MeSH]
lokal Research
lokal Germany [MeSH]
lokal Humans [MeSH]
lokal Health Services Accessibility [MeSH]
lokal High resolution population data
lokal Transportation [MeSH]
lokal Demography [MeSH]
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-7472-4739|https://frl.publisso.de/adhoc/uri/VGF1YmVuYsO2Y2ssIEgu|https://frl.publisso.de/adhoc/uri/S25vcHAsIEMu|https://frl.publisso.de/adhoc/uri/UmF1aCwgSi4=
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  • DeepGreen-ID: ebbaaa96289748a1ab60cc7e603639b5 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-11-15T18:04:26.292+0100
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