Fujimoto Yuri, Haga Takeshi
Laboratory of OSG Veterinary Science for Global Disease Management, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Division of Infection Control and Disease Prevention, Department of Veterinary Medical Science, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
J Vet Med Sci. 2024 Oct 1;86(10):1045-1051. doi: 10.1292/jvms.23-0521. Epub 2024 Aug 16.
Highly pathogenic avian influenza (HPAI) poses a significant threat to animal and public health, with outbreaks occurring globally. HPAI poses significant challenges due to its high mortality rate and public health concerns, with outbreaks spreading globally since the emergence of the H5N1 virus in 2003. In Japan, HPAI outbreaks have been particularly prevalent during autumn and winter seasons, with the 2022-2023 winter experiencing the most severe outbreak to date. However, limited research has directly examined the association between HPAI outbreaks and weather conditions in Japan. Here we show that specific weather conditions are associated with an increased risk of HPAI outbreaks on poultry farms in Japan. By analyzing databases of HPAI cases and meteorological data from 2020-2023, we found that higher average air temperatures two to three weeks prior, lower average wind speeds four weeks prior, and longer sunlight hours two and four weeks prior to outbreaks were significantly associated with increased risk of HPAI outbreaks in Japan. These results suggest that weather may influence environmental survival and transmission of the virus, as well as patterns of wild bird movement that could seed new outbreaks. These findings enhance our understanding of the factors influencing HPAI transmission dynamics and highlight the importance of integrating weather forecasts into disease surveillance and prevention strategies.
高致病性禽流感(HPAI)对动物和公共卫生构成重大威胁,全球范围内均有疫情爆发。由于其高死亡率和公共卫生问题,HPAI带来了重大挑战,自2003年H5N1病毒出现以来,疫情已在全球蔓延。在日本,HPAI疫情在秋冬季节尤为普遍,2022 - 2023年冬季经历了迄今为止最严重的疫情爆发。然而,直接研究日本HPAI疫情与天气状况之间关联的研究有限。在此,我们表明特定的天气状况与日本家禽养殖场HPAI疫情风险增加有关。通过分析2020 - 2023年HPAI病例数据库和气象数据,我们发现疫情爆发前两到三周的平均气温较高、四周前的平均风速较低以及疫情爆发前两周和四周的日照时间较长,均与日本HPAI疫情风险增加显著相关。这些结果表明,天气可能影响病毒的环境存活和传播,以及可能引发新疫情的野生鸟类迁徙模式。这些发现增进了我们对影响HPAI传播动态因素的理解,并突出了将天气预报纳入疾病监测和预防策略的重要性。