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影响日本宫崎高致病性禽流感传播风险的气象因素。

Meteorological factors affecting the risk of transmission of HPAI in Miyazaki, Japan.

作者信息

Arikawa Genki, Fujii Yoshinori, Abe Maiku, Mai Ngan Thi, Mitoma Shuya, Notsu Kosuke, Nguyen Huyen Thi, Elhanafy Eslam, Daous Hala El, Kabali Emmanuel, Norimine Junzo, Sekiguchi Satoshi

机构信息

Graduate School of Medicine and Veterinary Medicine, University of Miyazaki, Miyazaki, Japan.

Faculty of Education, University of Miyazaki, Miyazaki, Japan.

出版信息

Vet Rec Open. 2019 Sep 8;6(1):e000341. doi: 10.1136/vetreco-2019-000341. eCollection 2019.

Abstract

Highly pathogenic avian influenza (HPAI) outbreaks engender a severe economic impact on the poultry industry and public health. Migratory waterfowl are considered the natural hosts of HPAI virus, and HPAI viruses are known to be transmitted over long distances during seasonal bird migration. Bird migration is greatly affected by the weather. Many studies have shown the relationship between either autumn or spring bird migration and climate. However, few studies have shown the relationship between annual bird migration and annual weather. This study aimed to establish a model for the number of migratory waterfowl involved in HPAI virus transmission based on meteorological data. From 136 species of waterfowl that were observed at Futatsudate in Miyazaki, Japan, from 2008 to 2016, we selected potential high-risk species that could introduce the HPAI virus into Miyazaki and defined them as 'risky birds'. We also performed cluster analysis to select meteorological factors. We then analysed the meteorological data and the total number of risky birds using a generalised linear mixed model. We selected 10 species as risky birds: Mallard (), Northern pintail (), Eurasian wigeon (), Eurasian teal (), Common pochard (), Eurasian coot (), Northern shoveler (), Common shelduck (), Tufted duck () and Herring gull (). We succeeded in clustering 35 meteorological factors into four clusters and identified three meteorological factors associated with their migration: (1) the average daily maximum temperature; (2) the mean value of global solar radiation and (3) the maximum daily precipitation. We thus demonstrated the relationship between the number of risky birds and meteorological data. The dynamics of migratory waterfowl was relevant to the risk of an HPAI outbreak, and our data could contribute to cost and time savings in strengthening preventive measures against epidemics.

摘要

高致病性禽流感(HPAI)疫情对家禽业和公共卫生造成了严重的经济影响。候鸟被认为是HPAI病毒的天然宿主,并且已知HPAI病毒在季节性鸟类迁徙期间会远距离传播。鸟类迁徙受到天气的极大影响。许多研究已经表明秋季或春季鸟类迁徙与气候之间的关系。然而,很少有研究表明年度鸟类迁徙与年度天气之间的关系。本研究旨在基于气象数据建立一个参与HPAI病毒传播的候鸟数量模型。从2008年至2016年在日本宫崎县二股津观测到的136种水鸟中,我们选择了可能将HPAI病毒引入宫崎县的潜在高风险物种,并将它们定义为“风险鸟类”。我们还进行了聚类分析以选择气象因素。然后,我们使用广义线性混合模型分析了气象数据和风险鸟类的总数。我们选择了10种作为风险鸟类:绿头鸭()、针尾鸭()、赤颈鸭()、绿翅鸭()、普通秋沙鸭()、白骨顶鸡()、琵嘴鸭()、赤麻鸭()、凤头潜鸭()和银鸥()。我们成功地将35个气象因素聚类为四类,并确定了与它们的迁徙相关的三个气象因素:(1)日最高气温平均值;(2)全球太阳辐射平均值和(3)日最大降水量。因此,我们证明了风险鸟类数量与气象数据之间的关系。候鸟的动态与HPAI疫情爆发的风险相关,我们的数据有助于在加强疫情预防措施方面节省成本和时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c67c/6746539/3167c89274ff/vetreco-2019-000341f01.jpg

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