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Modeling Temperature Variations Using Monte Carlo Simulation: Implications for Estimation of the Postmortem Interval

Lawrence Hill1, Allison E Gilbert2,3, Maureen Coetzee2,3

  • 1Department of Forensic Science, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Private Bag 3, WITS, Johannesburg, Gauteng, 2050, South Africa.

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|July 14, 2020
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Summary
This summary is machine-generated.

Insect development on cadavers is temperature-dependent. This study models how temperature affects fly development from death to autopsy, crucial for estimating the postmortem interval (PMI) with insect evidence.

Keywords:
Monte Carlo simulationaccumulated degree-daysforensic entomologymodelingpostmortem intervalthermal summation

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Area of Science:

  • Forensic Entomology
  • Insect Development Modeling
  • Postmortem Interval Estimation

Background:

  • Insect development is strongly linked to temperature, a key factor in forensic entomology.
  • Accumulated degree-day (ADD) models are standard for estimating insect development, but temperature variations are critical.
  • Understanding temperature's impact on insect evidence from death scene to autopsy is vital for accurate PMI determination.

Purpose of the Study:

  • To simulate the effect of environmental and mortuary temperatures on six forensically relevant dipteran species.
  • To model insect development from the death scene through refrigeration and autopsy.
  • To assess the influence of temperature variations on postmortem interval (PMI) estimations.

Main Methods:

  • Collected temperature data over 16 months from external, refrigerator, and autopsy suite environments.
  • Employed Monte Carlo simulation with accumulated degree-days (ADD) to model developmental variations.
  • Analyzed the correlation between species' base temperatures and developmental success under different thermal conditions.

Main Results:

  • A negative correlation was observed between species' base temperature and developmental likelihood.
  • Insects with higher base temperatures (e.g., Chrysomya spp., Musca domestica) showed reduced development in refrigerators.
  • Species with lower base temperatures (e.g., Lucilia sericata, Piophila casei) maintained development even after cooling periods.

Conclusions:

  • Temperature fluctuations and refrigeration duration significantly impact insect development and PMI estimation.
  • Accurate temperature recording at all stages is essential for reliable forensic entomology.
  • Continued insect development despite cooling highlights the need for refined PMI methodologies in forensic investigations.