new simulation-based model for calculating post-mortem intervals using developmental data for Lucilia sericata (Dipt.: Calliphoridae)
Homicide investigations often depend on the determination of a minimum post-mortem interval (PMImin) 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 is...
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creator | Reibe, Saskia Doetinchem, Philip v Madea, Burkhard |
description | Homicide investigations often depend on the determination of a minimum post-mortem interval (PMImin) 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°C in the estimation of the crime scene temperature result in a deviation in PMI calculation of 15-30%. |
doi_str_mv | 10.1007/s00436-010-1879-x |
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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°C in the estimation of the crime scene temperature result in a deviation in PMI calculation of 15-30%.</description><identifier>ISSN: 0932-0113</identifier><identifier>EISSN: 1432-1955</identifier><identifier>DOI: 10.1007/s00436-010-1879-x</identifier><identifier>PMID: 20440626</identifier><identifier>CODEN: PARREZ</identifier><language>eng</language><publisher>Berlin/Heidelberg: Berlin/Heidelberg : Springer-Verlag</publisher><subject>Animals ; Biological and medical sciences ; Biomedical and Life Sciences ; Biomedicine ; Blowflies ; Calliphoridae ; Computer Simulation ; Criminal investigation ; Diptera - growth & development ; Entomology - methods ; Forensic Sciences - methods ; Fundamental and applied biological sciences. Psychology ; General aspects ; General aspects and techniques. Study of several systematic groups. 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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°C in the estimation of the crime scene temperature result in a deviation in PMI calculation of 15-30%.</description><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Blowflies</subject><subject>Calliphoridae</subject><subject>Computer Simulation</subject><subject>Criminal investigation</subject><subject>Diptera - growth & development</subject><subject>Entomology - methods</subject><subject>Forensic Sciences - methods</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>General aspects and techniques. Study of several systematic groups. Models</subject><subject>Humans</subject><subject>Immunology</subject><subject>Invertebrates</subject><subject>Lucilia sericata</subject><subject>Medical Microbiology</subject><subject>Microbiology</subject><subject>Models, Biological</subject><subject>Original Paper</subject><subject>Temperature</subject><subject>Time Factors</subject><issn>0932-0113</issn><issn>1432-1955</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc-O1SAUxhujca6jD-BGuzHqoldOobS4m1z_JjdxobMmlB6uTChUaMfxAXxvudOr7jQsgHN-3wc5X1E8BrIFQtpXiRBGeUWAVNC1orq5U2yA0boC0TR3iw0R-UwA6FnxIKUrQqDljN0vzmrCGOE13xQ_PX4vkx0Xp2YbfNWrhEM5hgFdaUIstXL6tucP5RTSXI0hzjiW1s8Yr5VL5ZKOvQGv0YVpRD8rVw5qVrfy_aKts6pMGK0-Fl-8sdO8fV3ulHN2-hqiHRS-fFjcM9kLH5328-Ly3dsvuw_V_tP7j7uLfaUZ7-aqb_UAPTM9tEIgU9DUTc9BsN6QlmEvRMNabRrQhHPsegAjdI0DaMEJ7wd6XjxffacYvi2YZjnapNE55TEsSYo8l5Y2Nf0v2VIKtKO1yOR2JQ_KobTehDkqndeAo9XBo7G5fkFJIwSHtskCWAU6hpQiGjlFO6r4QwKRx1zlmqskx3vOVd5kzZPTd5Z-xOGP4neQGXh2AlTKmZmovLbpL1d3HRO8y1y9cim3_AGjvApL9Hno_3z96SoyKkh1iNn48nNNgBLoGqCc019sBcW3</recordid><startdate>20100601</startdate><enddate>20100601</enddate><creator>Reibe, Saskia</creator><creator>Doetinchem, Philip v</creator><creator>Madea, Burkhard</creator><general>Berlin/Heidelberg : Springer-Verlag</general><general>Springer-Verlag</general><general>Springer</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7SS</scope><scope>M7N</scope></search><sort><creationdate>20100601</creationdate><title>new simulation-based model for calculating post-mortem intervals using developmental data for Lucilia sericata (Dipt.: Calliphoridae)</title><author>Reibe, Saskia ; Doetinchem, Philip v ; Madea, Burkhard</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c468t-b7cd1b4fb1799e4a1525b6194bf074eb99547cf51c066e8b11f9c2ed1c9606bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Animals</topic><topic>Biological and medical sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Blowflies</topic><topic>Calliphoridae</topic><topic>Computer Simulation</topic><topic>Criminal investigation</topic><topic>Diptera - growth & development</topic><topic>Entomology - methods</topic><topic>Forensic Sciences - methods</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>General aspects and techniques. Study of several systematic groups. Models</topic><topic>Humans</topic><topic>Immunology</topic><topic>Invertebrates</topic><topic>Lucilia sericata</topic><topic>Medical Microbiology</topic><topic>Microbiology</topic><topic>Models, Biological</topic><topic>Original Paper</topic><topic>Temperature</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Reibe, Saskia</creatorcontrib><creatorcontrib>Doetinchem, Philip v</creatorcontrib><creatorcontrib>Madea, Burkhard</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><jtitle>Parasitology research (1987)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reibe, Saskia</au><au>Doetinchem, Philip v</au><au>Madea, Burkhard</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>new simulation-based model for calculating post-mortem intervals using developmental data for Lucilia sericata (Dipt.: Calliphoridae)</atitle><jtitle>Parasitology research (1987)</jtitle><stitle>Parasitol Res</stitle><addtitle>Parasitol Res</addtitle><date>2010-06-01</date><risdate>2010</risdate><volume>107</volume><issue>1</issue><spage>9</spage><epage>16</epage><pages>9-16</pages><issn>0932-0113</issn><eissn>1432-1955</eissn><coden>PARREZ</coden><abstract>Homicide investigations often depend on the determination of a minimum post-mortem interval (PMImin) 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°C in the estimation of the crime scene temperature result in a deviation in PMI calculation of 15-30%.</abstract><cop>Berlin/Heidelberg</cop><pub>Berlin/Heidelberg : Springer-Verlag</pub><pmid>20440626</pmid><doi>10.1007/s00436-010-1879-x</doi><tpages>8</tpages></addata></record> |
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subjects | Animals Biological and medical sciences Biomedical and Life Sciences Biomedicine Blowflies Calliphoridae Computer Simulation Criminal investigation Diptera - growth & development Entomology - methods Forensic Sciences - methods Fundamental and applied biological sciences. Psychology General aspects General aspects and techniques. Study of several systematic groups. Models Humans Immunology Invertebrates Lucilia sericata Medical Microbiology Microbiology Models, Biological Original Paper Temperature Time Factors |
title | new simulation-based model for calculating post-mortem intervals using developmental data for Lucilia sericata (Dipt.: Calliphoridae) |
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