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韩国 2020/2021 年高致病性禽流感期间基于大数据的家禽养殖场风险评估。

Big data-based risk assessment of poultry farms during the 2020/2021 highly pathogenic avian influenza epidemic in Korea.

机构信息

Veterinary Epidemiology Division, Animal and Plant Quarantine Agency, Gimcheon, Gyeongsangbuk-do, Republic of Korea.

出版信息

PLoS One. 2022 Jun 7;17(6):e0269311. doi: 10.1371/journal.pone.0269311. eCollection 2022.

Abstract

Outbreaks of H5-type highly pathogenic avian influenza (HPAI) in poultry have been reported in various parts of the world. To respond to these continuous threats, numerous surveillance programs have been applied to poultry raising facilities as well as wild birds. In Korea, a surveillance program was developed aimed at providing a preemptive response to possible outbreaks at poultry farms. The purpose of this study is to comprehensively present the risks of HPAI evaluated by this program in relation to actual outbreak farms during the epidemic of 2020/2021. A deep learning-based risk assessment program was trained based on the pattern of livestock vehicles visiting poultry farms and HPAI outbreaks to calculate the risk of HPAI for farms linked by the movement of livestock vehicles (such farms are termed "epidemiologically linked farms"). A total of 7,984 risk assessments were conducted, and the results were categorized into four groups. The proportion of the highest risk level was greater in duck farms (13.6%) than in chicken farms (8.8%). Among the duck farms, the proportion of the highest risk level was much greater in farms where breeder ducks were raised (accounting for 26.4% of the risk) than in farms where ducks were raised to obtain meat (12.8% of the risk). A higher risk level was also found in cases where the species of the outbreak farm and epidemiologically linked farms were the same (proportion of the highest risk level = 13.2%) compared to that when the species between the two farms were different (7.9%). The overall proportion of farms with HPAI outbreaks among epidemiologically linked farms (attack rate, AR) was 1.7% as HPAI was confirmed on 67 of the 3,883 epidemiologically linked farms. The AR was highest for breeder ducks (15.3%) among duck farms and laying hens (4.8%) among chicken farms. The AR of the pairs where livestock vehicles entered the inner farm area was 1.3 times (95% confidence interval: 1.4-2.9) higher than that of all pairs. With the risk information provided, customized preventive measures can be implemented for each epidemiologically linked farm. The use of this risk assessment program would be a good example of information-based surveillance and support decision-making for controlling animal diseases.

摘要

世界上许多地方都报告了 H5 型高致病性禽流感 (HPAI) 在禽类中的爆发。为了应对这些持续的威胁,已经在禽畜养殖场和野生鸟类中应用了许多监测计划。在韩国,开发了一项监测计划,旨在对禽畜养殖场可能爆发的情况做出先发制人的反应。本研究的目的是全面展示该计划评估的与 2020/2021 年流行期间实际爆发农场相关的 HPAI 风险。基于禽畜车辆访问禽畜养殖场和 HPAI 爆发的模式,训练了一个基于深度学习的风险评估程序,以计算与禽畜车辆移动相关联的农场(这些农场称为“具有流行病学关联的农场”)的 HPAI 风险。共进行了 7984 次风险评估,并将结果分为四组。在鸭养殖场中,最高风险级别的比例(13.6%)高于鸡养殖场(8.8%)。在鸭养殖场中,饲养种鸭的养殖场的最高风险级别比例要高得多(占风险的 26.4%),而饲养肉鸭的养殖场的比例要低得多(占风险的 12.8%)。在爆发农场和具有流行病学关联的农场的物种相同的情况下,风险水平也较高(最高风险级别比例=13.2%),而在两个农场的物种不同的情况下,风险水平则较低(7.9%)。在具有流行病学关联的农场中,HPAI 爆发的农场比例(攻击率,AR)总体为 1.7%,因为在 3883 个具有流行病学关联的农场中有 67 个农场确认发生了 HPAI。在鸭养殖场中,种鸭的 AR 最高(15.3%),在鸡养殖场中,产蛋鸡的 AR 最高(4.8%)。当禽畜车辆进入内部农场区域时,其配对的 AR 是所有配对的 1.3 倍(95%置信区间:1.4-2.9)。通过提供风险信息,可以为每个具有流行病学关联的农场实施定制的预防措施。该风险评估程序的使用将是基于信息的动物疾病监测和支持决策的一个很好的例子。

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