Document Detail


A new simulation-based model for calculating post-mortem intervals using developmental data for Lucilia sericata (Dipt.: Calliphoridae).
MedLine Citation:
PMID:  20440626     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Homicide investigations often depend on the determination of a minimum post-mortem interval (PMI(min)) by forensic entomologists. The age of the most developed insect larvae (mostly blow fly larvae) gives reasonably reliable information about the minimum time a person has been dead. Methods such as isomegalen diagrams or ADH calculations can have problems in their reliability, so we established in this study a new growth model to calculate the larval age of Lucilia sericata (MEIGEN, 1826). This is based on the actual non-linear development of the blow fly and is designed to include uncertainties, e.g. for temperature values from the crime scene. We used published data for the development of L. sericata to estimate non-linear functions describing the temperature dependent behavior of each developmental state. For the new model it is most important to determine the progress within one developmental state as correctly as possible since this affects the accuracy of the PMI estimation by up to 75%. We found that PMI calculations based on one mean temperature value differ by up to 65% from PMIs based on an 12-hourly time temperature profile. Differences of 2 degrees C in the estimation of the crime scene temperature result in a deviation in PMI calculation of 15-30%.
Authors:
Saskia Reibe; Philip V Doetinchem; Burkhard Madea
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Publication Detail:
Type:  Journal Article     Date:  2010-05-04
Journal Detail:
Title:  Parasitology research     Volume:  107     ISSN:  1432-1955     ISO Abbreviation:  Parasitol. Res.     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-06-03     Completed Date:  2010-09-15     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8703571     Medline TA:  Parasitol Res     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  9-16     Citation Subset:  IM    
Affiliation:
Institute for Forensic Medicine, University of Bonn, Stiftsplatz 12, 53111 Bonn, Germany. sreibe@googlemail.com
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MeSH Terms
Descriptor/Qualifier:
Animals
Computer Simulation
Diptera / growth & development*
Entomology / methods*
Forensic Sciences / methods*
Humans
Models, Biological
Temperature
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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