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了解人象冲突对人类造成的伤亡:来自四年尸检分析的见解。

Understanding the Human Toll of Human-Elephant Conflicts: Insights From a Four-Year Autopsy Analysis.

作者信息

Bhengra Ajay

机构信息

Forensic Medicine, Sheikh Bhikhari Medical College, Hazaribagh, IND.

出版信息

Cureus. 2025 Jan 1;17(1):e76763. doi: 10.7759/cureus.76763. eCollection 2025 Jan.

Abstract

Introduction Not only does attention to the delicate natural balance of elephant and human coexistence spawn progress, but it also rightly draws attention. In that case, it can benefit both pockets of biodiversity and facilitate healthier ecosystems and a more sustainable future for elephants and people alike. Yet those human-elephant conflicts (HECs) have increased as habitat degradation and urbanization have repeatedly cut elephant pathways. These conflicts harm local communities and locally assisted conservation because of many fatalities, crop destruction, and property damage. To mitigate these accidents and encourage cohabitation, trend information and contributing factors to HEC deaths are needed. We can make our future an elephant and a person's shared life if we have the correct information and do the right thing. Materials and methods This cross-sectional note analyzes an autopsy-derived study of HEC victims from the tertiary care center, Hazaribagh, Jharkhand, between January 2020 and December 2023. The decomposed bodies, along with deaths from other causes, were excluded, and fatalities caused by HEC were the inclusion criteria. Victims were aged, sexed, and placed based on the month and year they died. The frequency and distribution of these variables were analyzed using IBM SPSS Version 27 (IBM Corp, Armonk, NY). Finally, data were classified and summarized to reveal events that consistently coincided with HEC-related deaths. Results In the four-year study period, there were 23 HEC-related deaths reported. The victim was male in 52.2% and female in 47.8%. The most affected age groups were 41-50, 31-40 (17.4%), and 51-60 (17.4%), respectively. In 2021 (47.8%) and 2022 (21.7%), there were the highest fatalities, followed by 2023 (17.4%) and 2020 (13.0%). Of the five identified, October had the highest cases (21.7%), with February, April, and December making 17.4% each. The incidence was lowest in May and August (4.3% each) and second lowest in July and September (8.7% each). Deaths tended to occur between 4 PM and 12 AM (47.8%); the next most prominent peak was 12 AM to 8 AM (34.8%). Most died (91.3%) at the scene of the incident, with two patients (8.7%) dying at medical facilities. Death was primarily due to combined head injury and hemorrhagic shock (91.3%). There was a significant association between year and month of incidence (χ²(21) = 47.44, p = 0.001), suggesting nonrandom patterns in fatalities. Deaths of patients accounted for the highest monthly fatality rate (45.5%; October 2021). Conclusion Results show the need to mitigate HEC in Jharkhand. The strong association between fatalities and the year and month of fatalities shows seasonal and temporal patterns with these conflicts. Improved public awareness, enhanced management of elephant corridors, and planning for urbanization are indispensable to avoid HEC incidents. While this sounds great, the critical role of stakeholder collaboration makes everyone's involvement imperative for effectively overcoming these conflicts for the coexistence of humans and elephants.

摘要

引言 关注大象与人类共存的微妙自然平衡不仅能带来进步,还理应引起关注。在这种情况下,它既能使生物多样性的各个区域受益,又能促进更健康的生态系统,并为大象和人类创造更可持续的未来。然而,随着栖息地退化和城市化不断切断大象的通行路径,这些人象冲突(HEC)有所增加。由于许多人员伤亡、作物毁坏和财产损失,这些冲突对当地社区和当地支持的保护工作造成了损害。为了减轻这些事故并鼓励共同生活,需要了解HEC死亡的趋势信息和促成因素。如果我们掌握正确的信息并采取正确的行动,就能让我们的未来成为大象和人类共同的生活。

材料与方法 本横断面研究分析了2020年1月至2023年12月期间在贾坎德邦哈扎里巴格三级护理中心对HEC受害者进行的尸检研究。排除已腐烂的尸体以及其他原因导致的死亡,将HEC导致的死亡作为纳入标准。根据受害者死亡的月份和年份对其进行年龄、性别分类并定位。使用IBM SPSS 27版(IBM公司,纽约州阿蒙克)分析这些变量的频率和分布。最后,对数据进行分类和总结,以揭示与HEC相关死亡始终相符的事件。

结果 在四年的研究期内,共报告了23起与HEC相关的死亡事件。受害者中男性占52.2%,女性占47.8%。受影响最严重的年龄组分别是41 - 50岁、31 - 40岁(各占17.4%)和51 - 60岁(占17.4%)。2021年(占47.8%)和2022年(占21.7%)的死亡人数最多,其次是2023年(占17.4%)和2020年(占13.0%)。在确定的五个月份中,10月的病例数最多(占

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a4/11785824/341d9655bdd7/cureus-0017-00000076763-i01.jpg

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