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Journal Article

Citation

Gao F, Wang X, Liu T, Zhao Y, Tang Y. Forensic Science and Technology 2022; 47(5): 530-535.

Copyright

(Copyright © 2022)

DOI

10.16467/j.1008-3650.2022.05.001

PMID

unavailable

Abstract

A survey was here carried out about high-falling cases so that the influential factors were able to explore on the time spent with the cases' scenes, purposing to provide a theoretical and practical basis for rapid investigation into the scenes of involving cases. The high-falling cases that occurred in the selected district from June 1st, 2014 to May 31th, 2018, were collected and analyzed statistically. In total, 318 pieces of such cases were reviewed, having them kept into groups with the victims' gender and age, locations where cases happened, heights of high-falling, time spent on scene investigation of each case. Statistical analysis was respectively tested with Student t and Chi sqare about the distribution of time spent on the investigation from cases of every group mentioned above, putting the received two test results into comparison. Subsequently, the regression equation published in earlier literature was verified into the cases to estimate the falling height based on the facture degree of skull and extremity bones. Concerning the surveyed cases, suicide was the most common type, acconting for 89.0%, and occurred most in residential area. A mass of scenes were spent within 60 minutes on their investigation, acconting for 78.8% of all the cases. There were older victims in residential and hospital areas than work and other places although no significant difference was correlated with the age of victims who took off from different floors. The lower falling heights were shown at work-related sites than the rest. More time usually took on inspecting those high-falling cases at areas related to work or high floors (10 storeys and above). No significant difference was found of the spent time relating to victims' gender or cases' genre/kind. The verified regression equation performed its effective accuracy up to 75% as it had been applied into 12 practical cases. Accordingly, the falling height would be estimated more accurately if helping hands, e.g., the here-adopted regression equation, can be relied to link the corpse damage with falling height. Consequently, the time spent on scene investigation of high-falling cases will be reduced potently even on the cases occurring to high floor, hence bringing the rapid investigation into success. © 2022, Editorial Office of Forensic Science and Technology. All rights reserved.


Language: zh

Keywords

statistical analysis; efficient investigation; forensic sceneology; high falling

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