Access to Life-Saving Devices - Ensuring Timely Reach to Defibrillators in Urban Areas
In a recent analysis, urban accessibility, public defibrillator location data, global population datasets, and Uber's H3 geospatial indexing system were combined to estimate the coverage of defibrillators in the cities of Budapest and Vienna.
The study, which likely falls under the realm of urban health, geospatial analytics, emergency medicine, or digital health technologies, uses a unique approach to mapping data. The data is organised into the H3 grid system of Uber, a spatial indexing system that utilises hexagon tiles. This system allows for a more efficient analysis of large datasets, particularly when multiple points of interest (POIs) are likely mapped into each grid cell.
To achieve this, both population and accessibility data are mapped into the hexagon cells based on which grid cells each point geometry falls into. Population levels are aggregated by summing them up within the same hexagon, while accessibility is computed as the average defibrillator accessibility time for each tile.
The resolution chosen for this analysis was 9, providing a balance between detail and computational efficiency. A function was created to split the city into hexagons at this resolution.
The analysis estimates the fraction of the reachable population from the nearest defibrillator unit within a certain amount of time. However, it's important to note that the analysis does not directly link defibrillator accessibility to heart-attack survival rate.
The analysis revealed that in Budapest, about 75-80% of the population can get to a defibrillator within 10 minutes, while in Vienna, nearly complete coverage is achieved in around 6-7 minutes.
It's worth mentioning that the data used for Budapest is incomplete and may not accurately represent the official data source. Accessibility data is attached to each node within the road network of each city, while population data is derived from a raster grid.
For those interested in finding more information on this specific study, academic databases and journals related to the fields mentioned above, especially those publishing papers on public defibrillator accessibility or smart city healthcare infrastructures, could be a good starting point. The European Heart Rhythm Association (EHRA) or related cardiovascular research organisations might also publish relevant studies or conference proceedings.
Additionally, research groups or projects that employ Uber's H3 grid system for spatial analysis might share data or results in open-access academic repositories or GitHub. Lastly, looking for recent conference abstracts or proceedings that address urban health interventions combining open data sources and geospatial analysis, particularly those focusing on Budapest and Vienna, could yield valuable results.
While the exact study could not be directly identified in the provided search results, the EHRA and European cardiology digital data initiatives could be key sources to explore for further information.
1) This study, pertaining to the realms of urban health, geospatial analytics, emergency medicine, and digital health technologies, leverages advanced technology such as data-and-cloud-computing and technology to analyze large datasets related to medical-conditions, health-and-wellness, fitness-and-exercise, and science.
2) The analysis, carried out using a unique approach to mapping data, organizes the data into the H3 grid system of Uber, a technology-driven spatial indexing system that employs hexagon tiles for efficient analysis of multiple points of interest (POIs).
3) The study's findings suggest that CBD, a compound often used in health-and-wellness and fitness-and-exercise, may not have a direct link to heart-attack survival rates, but instead, focuses on estimating the fraction of the reachable population from the nearest defibrillator unit within a certain amount of time.
