PMI 예측에 이용된 파리 종의 법곤충학적 통계모형에 기초한 선행연구의 고찰 및 시사점
A Review and Implications of Preceding Research Based on Forensic Entomological Statistical Models of Fly Species Used in PMI Prediction
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법곤충학에서 파리의 성장에 대한 정보는 사후경과시간(PMI)을 추정하는데 가장 핵심적인 부분이다. 특히 파리의 성장은 환경적, 유전적, 기후학적 요소 (온도, 습도, 종, 서식지 등) 들에 큰 영향을 받으므로 성장(사육)환경이 조금만 달라져도 성장속도가 크게 달라진다. 이 연구는 파리의 성장을 연구한 50편의 국내·외 다양한 논문들을 선정해서 해당 연구에서 파리의 성장곡선 추정에 사용된 통계적 기법을 알아보고 정리하였다. 50편의 논문은 다음과 같이 1) 파리 종의 성장에 영향을 주는 변수 탐색, 2) 파리 종의 성장곡선 추정, 3) 약물의 영향이 파리 종의 성장에 미치는 영향, 4) 기타 여러 조건하에서의 곤충 종의 성장관련모형 추정의 4개의 분야로 나누어졌다. 이 연구에서는 위의 4가지 기준에 따라 분류된 연구에 사용된 통계분석 방법과 그 결과를 살펴보고 다양한 상황에서 사용할 수 있는 적합한 통계적 모형들에 대해 제안하고자 한다.
Abstract
In forensic entomology, the growth estimation of flies is a major part of Post-mortem interval (PMI) estimation. Especially, the growth of flies depends on environmental, genetic, and climatological factors (e.g. temperature, humidity, species and habitat, and so on). In this study, we inspect statistical analysis methods to estimate the growth curves of flies in various researches. We select 50 published papers where growth estimations were carried out using the statistical models and try to summarize the current state of the growth curve estimation of fly species. We categorize the currently published papers into four parts: 1) variable exploration that affects the growth of fly species, 2) estimation model for the growth curve of fly species, 3) relationship between drug and growth of fly species, and 4) other factors that affect the growth of fly species and their association. We review the results of growth curve estimation according to the above categories and suggest its implications. Also, we find out effective statistical models for estimating the growth of flies under various circumstances and propose the appropriate statistical models under given circumstances.
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