Publications by authors named "Hayden S McKee-Zech"

Article Synopsis
  • Microbial succession has potential to enhance postmortem interval (PMI) estimation methods for human remains, especially since traditional methods have limitations.
  • Previous machine learning models based on soil microbes have shown PMI errors ranging from 2.5 to 6 days, but they neglected environmental factors affecting microbial presence.
  • This study evaluated how including environmental data (like temperature and soil pH) impacts the accuracy of microbial-based PMI predictions, finding that models using bacterial data (16S) were more accurate than those using fungal data (ITS), and environmental factors varied in their influence on different biological markers.
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Burning of human remains is a common method to conceal or destroy evidence associated with homicides and illegal activities. However, data regarding blow fly colonization of burned remains are scarce, with all previously published empirical studies focusing only on non-human animals. It is critically important to obtain basic data on blow fly colonization patterns of burned human remains as such evidence may represent the only feasible method for PMI estimation in cases of burning.

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Postmortem interval estimations can be complicated by the inter-individual variation present in human decomposition. Forensic entomologists may especially face challenges interpreting arthropod evidence in scenarios that are not "by the book", or that vary in unexpected ways. Therefore, it is important to report instances where blow fly colonization does not align with expected soft tissue decomposition as blow fly larvae are often used to produce a time of colonization (TOC) estimation to infer a minimum PMI.

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Microorganisms are key decomposers of vertebrate mortalities, breaking down body tissues and impacting decomposition progress. During human decomposition, both extrinsic environmental factors and intrinsic cadaver-related factors have the potential to impact microbial decomposers either directly or indirectly via altered physical or chemical conditions. While extrinsic factors (e.

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