Estimation of postmortem submersion interval using total aquatic decomposition scores of human cadavers from Punjab.

Chitra Jangid, Jyoti Dalal, Kiran Kumari Malik
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Abstract

Estimation of the postmortem submersion interval (PMSI) using total aquatic decomposition scores (TADS) has shown considerable promise in recent forensic research. Since decomposition is a time- and temperature-dependent process, the Accumulated Degree Day (ADD) of water has been linked with TADS to improve the accuracy of PMSI estimations. Expanding research across diverse geographical areas and aquatic environments (lentic, lotic, freshwater, and saltwater) is essential to enhance the reliability and applicability of scoring methods. This study analyzed 50 cases from different districts of Punjab, with TADS ranging from 4 to 22, calculated using Heaton et al.'s method. These scores corresponded to various decomposition stages, with 22 cases in the early floating stage (ADD: 9.79-104.54), 21 cases in the floating decay stage (ADD: 104.54-459.33), and 7 cases in the advanced floating decay stage (ADD: 617.58-2018.19). Furthermore, a robust correlation between TADS and PMSI (R2 = 0.925, p < 0.001) confirms the reliability of TADS in estimating PMSI. The established regression equation, PMSI = 10 - 0.160 + 0.07316 × TADS $$ \mathrm{PMSI}\kern0.5em =\kern0.5em {10}^{\left(-0.160\kern0.5em +\kern0.5em 0.07316\times \mathrm{TADS}\right)} $$ , provides a predictive tool for PMSI estimation. The findings suggest that TADS is a reliable indicator of PMSI and can be effectively applied in subtropical climates. The established regression equations provide a practical tool for estimating PMSI in human remains recovered from regions with similar climatic conditions.

用旁遮普人类尸体的总水生分解分数估计死后淹没间隔。
利用总水生分解分数(TADS)估计死后淹没间隔(PMSI)在最近的法医研究中显示出相当大的前景。由于分解是一个依赖于时间和温度的过程,因此将水的累积度数(ADD)与TADS联系起来,以提高PMSI估计的准确性。扩大对不同地理区域和水生环境(淡水、河流、淡水和咸水)的研究对于提高评分方法的可靠性和适用性至关重要。本研究分析了旁遮普不同地区的50例病例,TADS范围为4至22,采用Heaton等人的方法计算。这些分数对应于不同的分解阶段,早期漂浮阶段22例(ADD: 9.79 ~ 104.54),漂浮衰变阶段21例(ADD: 104.54 ~ 459.33),晚期漂浮衰变阶段7例(ADD: 617.58 ~ 2018.19)。此外,TADS与PMSI之间存在显著相关(R2 = 0.925, p PMSI = 10 - 0.160 + 0.07316 × TADS $$ \mathrm{PMSI}\kern0.5em =\kern0.5em {10}^{\left(-0.160\kern0.5em +\kern0.5em 0.07316\times \mathrm{TADS}\right)} $$),为PMSI估计提供了预测工具。研究结果表明,TADS是PMSI的可靠指标,可有效应用于亚热带气候。建立的回归方程提供了一个实用的工具,估计PMSI从类似气候条件的地区恢复的人类遗骸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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