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Dataset Information

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


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 a

SUBMITTER: Rauch S 

PROVIDER: S-EPMC8243862 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature