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A new simulation-based model for calculating post-mortem intervals using developmental data for Lucilia sericata

Saskia Reibe¹, Philip V Doetinchem, Burkhard Madea

¹Institute for Forensic Medicine, University of Bonn, Stiftsplatz 12, 53111 Bonn, Germany. sreibe@googlemail.com

Parasitology Research

|May 5, 2010

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Forensic entomologists estimate minimum post-mortem interval (PMI) using insect larval age. This study introduces a new growth model for Lucilia sericata, improving PMI accuracy by accounting for non-linear development and temperature variations.

Area of Science:

Forensic Entomology
Developmental Biology
Mathematical Modeling

Background:

Accurate determination of post-mortem interval (PMI) is crucial in homicide investigations.
Forensic entomology, particularly blow fly larval age, provides a minimum PMI (PMI(min)).
Existing methods like isomegalen diagrams and average degree-hour (ADH) calculations have limitations in reliability.

Purpose of the Study:

To develop a novel growth model for estimating the larval age of Lucilia sericata.
To enhance the accuracy of minimum post-mortem interval (PMI) estimations in forensic investigations.
To incorporate uncertainties, such as crime scene temperature fluctuations, into the PMI calculation.

Main Methods:

Utilized published data on the development of Lucilia sericata.

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Estimated non-linear functions to describe temperature-dependent larval development.

Developed a new growth model focusing on accurate progress within each developmental stage.

Main Results:

The new model accounts for the non-linear development of blow fly larvae.
Accurate determination of progress within a developmental stage significantly impacts PMI accuracy (up to 75%).
PMI calculations varied by up to 65% when using a single mean temperature versus a time-temperature profile.

Conclusions:

The developed growth model offers a more reliable method for PMI estimation.
Temperature variations significantly affect PMI calculations, with a 2°C difference causing 15-30% deviation.
This model improves the precision of forensic entomological age assessments for Lucilia sericata.