2014-2021年中国高致病性禽流感H5N6的危险因素:基于MaxEnt模型
Zhuo Sun1,2, Yue-Peng Li1,2, Qi An1,2
1College of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Transboundary and emerging diseases
|April 30, 2025
概括
高致病性禽流感H5N6 (HPAI H5N6) 对中国的家禽和公共健康构成重大威胁. 这项研究确定了HPAI H5N6的关键风险因素和高风险区域,有助于制定控制措施.
科学领域:
- 兽医流行病学 兽医流行病学
- 传染病建模 传染病建模
- 公共卫生监督 公共卫生监督
背景情况:
- 自2014年以来,高致病性禽流感H5N6 (HPAI H5N6) 在中国引起了重大的经济和公共卫生问题.
- 有效的控制策略需要了解HPAI H5N6.6的空间和环境驱动因素.
- 以前的研究没有完全整合全面的监测和疫情数据来预测HPAI H5N6风险.
研究的目的:
- 在中国开发HPAI H5N6存在和爆发风险的预测模型.
- 确定与HPAI H5N6.6相关的关键生物气候,地理和社会经济风险因素.
- 创建风险预测地图,以指导有针对性的HPAI H5N6控制工作.
主要方法:
- 利用最大模型与中国HPAI H5N6的国家监测和疫情数据.
- 选了26个潜在变量,保留了模型构建的14个重要因素.
- 使用空间分析来确定HPAI H5N6.6的高风险地理区域.
主要成果:
- 模型显示出强大的预测性能 (AUC为0.931和0.892).
- 对于HPAI H5N6存在的重大风险因素包括人口密度,道路密度,家禽市场密度,平均日间范围和密度.
- HPAI H5N6疫情与人口密度,道路密度,平均日间范围,最干燥的月份降水量和密度有关.
- 中国南部被确定为HPAI H5N6维持和爆发的高风险地区.
结论:
- 该研究成功地确定了中国HPAI H5N6的关键风险因素和高风险区域.
- 预测模型和风险地图为有针对性的HPAI H5N6监测和控制提供了宝贵的工具.
- 这些发现将有助于制定有效的措施,以减轻HPAI H5N6对家禽和人类健康的影响.
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