Evidence map›Paper›PMID 39897328›Full record

ArticleCureus2025

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

Ajay Bhengra

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In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Ajay BhengraForensic Medicine, Sheikh Bhikhari Medical College, Hazaribagh, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

corridorsfatalitiesforest conservationhuman-elephant conflictwildlife

Identifiers

PMID39897328
PMCPMC11785824

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.