Sun Zhuo, Li Yue-Peng, An Qi, Gao Xiang, Wang Hong-Bin
College of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Key Laboratory of the Provincial Education Department of Heilongjiang for Common Animal Disease Prevention and Treatment, College of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Transbound Emerg Dis. 2023 Sep 15;2023:6449392. doi: 10.1155/2023/6449392. eCollection 2023.
Highly pathogenic avian influenza H5N6, an acute infectious poultry disease, has appeared in China since 2014. The serious HPAI H5N6 epidemic has caused substantial economic losses to the poultry industry and seriously threatened public health. This study developed two maximum entropy models based on highly pathogenic avian influenza virus H5N6 surveillance data obtained through China's national surveillance program and HPAI H5N6 outbreak data in China, identified risk factors for the disease and developed risk prediction maps. Both models had a good predictive performance with area under the receiver operating characteristic curves of 0.931 and 0.892. Our study considered 26 variables from bioclimate, geographical, and socioeconomic factors. After the screening, 14 variables were retained and incorporated into the construction of the two models. HPAIV H5N6 presence was related to population density, road density, poultry market density, mean diurnal range, and chicken density. HPAI H5N6 poultry outbreaks were associated with population density, road density, mean diurnal range, precipitation of the driest month, and chicken density. Overall, Southern China was the high-risk area for HPAIV H5N6 maintenance and H5N6 outbreak. The risk factors and maps associated with the HPAIV H5N6 presence and HPAI H5N6 outbreak identified in our study will help develop appropriate HPAIV H5N6 control measures to reduce the risk of infection and morbidity in poultry and humans.
高致病性禽流感H5N6是一种急性家禽传染病,自2014年以来在中国出现。严重的HPAI H5N6疫情给家禽业造成了巨大经济损失,并严重威胁到公众健康。本研究基于通过中国国家监测计划获得的高致病性禽流感病毒H5N6监测数据以及中国的HPAI H5N6疫情数据,开发了两个最大熵模型,确定了该疾病的风险因素并绘制了风险预测图。两个模型均具有良好的预测性能,受试者工作特征曲线下面积分别为0.931和0.892。我们的研究考虑了来自生物气候、地理和社会经济因素的26个变量。经过筛选,保留了14个变量并将其纳入两个模型的构建中。HPAIV H5N6的存在与人口密度、道路密度、家禽市场密度、平均日较差和鸡的密度有关。HPAI H5N6家禽疫情与人口密度、道路密度、平均日较差、最干燥月份的降水量和鸡的密度有关。总体而言,中国南方是HPAIV H5N6维持和H5N6疫情的高风险地区。我们的研究中确定的与HPAIV H5N6存在和HPAI H5N6疫情相关的风险因素和地图将有助于制定适当的HPAIV H5N6控制措施,以降低家禽和人类感染及发病的风险。