基于人工智能的气候和空气污染因素对狗咬伤发病率的分析
Sneha Gautam1,2, Aron Rodrick Lakra3, N S Athish4
1Division of Civil Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Frontiers in veterinary science
|March 2, 2026
概括
气温上升会增加狗咬伤事件,而更高的湿度会减少它们. 温度和湿度等环境因素影响狗咬伤风险,需要针对公共健康和安全的局部策略.
科学领域:
- 环境健康 环境健康
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 狗咬伤事件构成了日益严重的公共卫生挑战.
- 环境的变化可能会影响狗咬人的频率.
- 了解这些环境联系对于预防至关重要.
研究的目的:
- 在印度五个州调查气象变量与狗咬伤发病率之间的关联.
- 检查特定空气污染物在狗咬伤事件中的作用.
- 根据环境因素,开发出基于狗咬伤风险的预测模型.
主要方法:
- 对最大温度,相对湿度和狗咬伤数据的统计分析.
- 主要组件分析 (PCA) 用于确定环境因素趋势.
- 开发和验证人工智能 (H2O XGBoost) 模型用于风险预测.
主要成果:
- 最大温度和相对湿度与狗咬伤发生率有显著的关联.
- 较高的温度与增加的狗咬合相关;较高的湿度与减少的咬合相关.
- 人工智能模型在预测狗咬伤风险方面取得了87%的准确性.
结论:
- 环境因素,特别是温度和湿度,是狗咬伤发生率的重要决定因素.
- 必须考虑对狗咬伤的环境影响的区域特异性变化.
- 调查结果支持与健康,城市和气候行动的可持续发展目标保持一致的公共卫生战略.
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