摘要
在影响死亡时间(postmortem interval,PMI)推断的诸多因素中,温度是最主要的影响因素,但单一考虑温度因素推断PMI具有局限性。累积日度(accumulated degree days,ADD)是有关生物生长发育的重要指标,同时兼顾环境温度和经历时间两大变量,通过建立ADD与某些评价指标的数学模型用于推断PMI,明显优于单一温度变量。本文简述了ADD的研究历史、PMI推断的应用以及面临的问题,为进一步提高ADD推断PMI的准确度提供参考。
Among many factors that affect postmortem interval(PMI),temperature is undoubtedly the most important factor,but simply considering temperature in estimation of PMI has limitations.Accumulated degree days(ADD)is an important indicator related to biological growth and development,which considers two major variables,environmental temperature and elapsed time.Therefore,the establishment of mathematical model of ADD and some evaluation indicators to estimate PMI,is obviously better than single temperature variable.This article briefly describes the research history of ADD,its application in PMI estimation,and the problems it faces,to provide reference for the further development of ADD to improve the accuracy of PMI estimation.
作者
朱伟豪
杨梦姿
郑哲
孙凯
莫耀南
ZHU Wei-hao;YANG Meng-zi;ZHENG Zhe;SUN Kai;MO Yao-nan(School of Forensic Medicine,Henan University of Science and Technology,Luoyang 471003,Henan Province,China;Department of Forensic Medicine,College of Basic Medicine,Chongqing Medical University,Chongqing 400016,China)
出处
《法医学杂志》
CAS
CSCD
2021年第3期396-401,411,共7页
Journal of Forensic Medicine
基金
河南科技大学研究生创新基金资助项目(CXJJ-2019-KJ21)。
关键词
法医病理学
死亡时间推断
累积日度
综述
forensic pathology
estimation of postmortem interval
accumulated degree days
review