Application of a Bayesian network to aid the interpretation of blood alcohol (ethanol) concentrations in air crashes

Maskell, P.D. and Jackson, G. (2020) Application of a Bayesian network to aid the interpretation of blood alcohol (ethanol) concentrations in air crashes. Forensic Science International, 308, 110174. (doi: 10.1016/j.forsciint.2020.110174) (PMID:32036324)

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Abstract

In the investigation of a fatal air crash, it is important to determine if the pilot, at the time of death, was contravening the regulations in relation to 1) the permitted concentration of ethanol (alcohol) in the blood and 2) whether the pilot had consumed alcohol within a specified period before flying. It is also important to assess whether any alcohol detected in the toxicological samples was present either because of consumption or because of post-mortem alcohol formation. We have developed a Bayesian Network that models the relationships between analytical results, circumstantial evidence and the concentration of alcohol at the time of death in cases of air crash. The model provides a rational, coherent approach to forensic interpretation, moving interpretation from a largely subjective, generalist approach to a more objective, case-specific methodology utilising available relevant data and accommodating the inevitable uncertainties within a case.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Maskell, Peter
Authors: Maskell, P.D., and Jackson, G.
College/School:College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing
Journal Name:Forensic Science International
Publisher:Elsevier
ISSN:0379-0738
ISSN (Online):1872-6283
Published Online:29 January 2020

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