Spatial Autocorrelation Analysis of Road Traffic Injuries from Beijing 120 Emergency Center

Corresponding author: Yu Hailing, yuhailingtaotao@sina.com

DOI: 10.12201/bmr.202110.00034

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  Abstract: Objective This study aims to analyze the spatial autocorrelation of road traffic injuries on pre-hospital medical emergency in 2019 from Beijing 120 Emergency Center and to find multiple areas of road traffic injuries so as to lay the foundation for the allocation of pre-hospital medical emergency resource. Methods Explore the spatial difference of road traffic injuries based on spatial autocorrelation analysis by ArcGIS 10.2. Results Road traffic injuries are distributed differently in all districts. The Morans I statistic of road traffic injuries is 0.47(P<0.05), indicating a strong spatial autocorrelation. Local spatial autocorrelation analysis of road traffic injury cases in villages and towns shows that there are 51 hot spots and 25 cold spots. Conclusion There is an obvious geographical distribution of road traffic injuries and moderate or above spatial aggregation. This study has partial reference value for guiding the allocation of pre-hospital medical emergency resource and the establishment of “green channel” in the region.

  Key words: Police-medic linkage; Road traffic injury; Pre-hospital medical emergency; Spatial autocorrelation

  Submit time: 14 December 2021

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2021-10-25	10.12201/bmr.202110.00034V1	Download

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