俄罗斯野猪非洲猪瘟的危险因素:归类算法回归的应用
Olga I Zakharova1, Elena A Liskova1
1Federal Research Center for Virology and Microbiology, Branch in Nizhny Novgorod, 603950 Nizhny Novgorod, Russia.
Animals : an open access journal from MDPI
|February 26, 2025
概括
野猪人口密度和受感染的尸体是非洲猪瘟 (ASF) 传播的关键因素. 了解这些风险有助于控制野猪种群中的ASF疫情.
科学领域:
- 兽医流行病学 兽医流行病学
- 野生动物疾病生态学 野生动物疾病生态学
- 传染病建模 传染病建模
背景情况:
- 野生猪中非洲猪瘟 (ASF) 爆发受到动物种群密度的影响.
- 亚洲猪瘟病毒的环境持久性与感染的野猪尸体有关.
- 有效的控制策略需要了解区域ASF风险因素.
研究的目的:
- 确定和分析非洲猪瘟病毒在野猪种群中发生的风险因素.
- 为了比较物流回归和随机森林模型的预测性能,用于ASF风险评估.
- 为受影响地区的ASF有针对性的控制战略提供信息.
主要方法:
- 用通用后勤回归模型来分析ASF风险因素.
- 随机森林分析被用于ASF发生的统计建模.
- 使用了来自野猪种群的被动监测和人口减少数据.
主要成果:
- 随机森林回归 (R2 = 0.98) 在 ASF 建模中表现优于后勤回归 (R2 = 0.88).
- 野生猪中ASF的关键预测因素包括人口密度,狩猎农场,尸体和家猪疫情.
- 多次物流回归证实了这些已识别的风险因素的重要性.
结论:
- 野猪种群密度和受感染的尸体是ASF的关键驱动因素.
- 随机森林模型为俄罗斯的ASF风险评估提供了一种有效和可解释的方法.
- 识别地理风险因素对于制定有效的区域ASF控制战略至关重要.
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