ArticleInternational journal of health geographics2021
Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios.
Article in International journal of health geographics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Geospatial Insights into Healthcare Accessibility in Europe: A Scoping Review of GIS Applications.Healthcare (Basel, Switzerland) · 2025Review
- Access to paediatric oncology centres in Switzerland: Disparities across rural-urban and Swiss-foreigners cohorts.European journal of cancer care · 2022Article
- Empiric recommendations for population disaggregation under different data scenarios.PloS one · 2022Article
- An equity and efficiency integrated grid-to-level 2SFCA approach: spatial accessibility of multilevel healthcare.International journal for equity in health · 2021Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeRapid 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.
methodsUsing 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.
resultsThe 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.
conclusionsIn 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.
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