Gustafson L, Jones R, Dufour-Zavala L, Jensen E, Malinak C, McCarter S, Opengart K, Quinn J, Slater T, Delgado A, Talbert M, Garber L, Remmenga M, Smeltzer M
A United States Department of Agriculture, Animal and Plant Health Inspection Service, Veterinary Services, Center for Epidemiology and Animal Health, 2150 Centre Avenue, Fort Collins, CO 80526.
B Georgia Poultry Laboratory Network, 3235 Abit Massey Way, Gainesville, GA 30507.
Avian Dis. 2018 Jun;62(2):201-209. doi: 10.1637/11801-011818-Reg.1.
An expert elicitation was staged to rapidly decipher plausible routes and risks of pathogen transmission in the 2017 H7N9 avian influenza (AI) outbreak in the four-state region of Tennessee, Alabama, Georgia, and Kentucky. The process included the identification of risk factors found in a preponderance of commercial broiler breeder case farms over matched controls and an opinion-based weighting of risks and mitigations perceived influential to this outbreak. Although the two highly pathogenic AI case farms had general location and company ownership in common, obvious connections were lacking for the remainder of H7N9-infected (all low pathogenicity) commercial farms. Expert elicitation of differences between known cases and controls suggested a key role for environmental rather than lateral (business network) pathways in the distribution of low pathogenicity AI across commercial broiler breeder operations. Factors with greatest strength as predictors of disease, whether or not they were causal, included mesopredator or rodent incursions, enclosure defects, and habitat disturbance that might attract wildlife to the farm (e.g., feed spills and vacating of neighboring properties). Business affiliations that may have facilitated farm-to-farm transfer, in contrast, were limited. Biosecurity standards varied across this study group but were no more or less stringent among cases over controls. However, results from a parallel hypothetical scenario staged to address field data gaps suggest that uniformity and consistency in the implementation of biosecurity practices may impact risk of disease introduction. Importantly, this study was conducted within a few weeks and with little disruption to emergency response activities. As such, the approach offers an alternative model for interim field investigation of new or emerging high-consequence diseases with immediate decision support needs.
开展了一次专家咨询活动,以迅速解读2017年田纳西州、阿拉巴马州、佐治亚州和肯塔基州四州地区H7N9禽流感(AI)疫情中病原体传播的可能途径和风险。该过程包括识别在大量商业肉鸡种鸡病例养殖场中发现的、相对于匹配对照而言的风险因素,以及对认为对此次疫情有影响的风险和缓解措施进行基于意见的加权。尽管两家高致病性禽流感病例养殖场在地理位置和公司所有权方面有共同之处,但其余感染H7N9的(均为低致病性)商业养殖场之间缺乏明显联系。对已知病例与对照之间差异的专家咨询表明,在低致病性禽流感在商业肉鸡种鸡养殖场中的传播中,环境途径而非横向(商业网络)途径起关键作用。作为疾病预测因素(无论是否具有因果关系)强度最大的因素包括中型食肉动物或啮齿动物入侵、围栏缺陷以及可能吸引野生动物到农场的栖息地干扰(如饲料洒落和邻近地块空置)。相比之下,可能促进农场间传播的商业关联有限。本研究组的生物安全标准各不相同,但病例组与对照组之间在严格程度上并无差异。然而,为解决现场数据缺口而进行的一个平行假设情景的结果表明,生物安全措施实施的统一性和一致性可能会影响疾病引入风险。重要的是,本研究在几周内完成,且对应急响应活动的干扰很小。因此,该方法为有即时决策支持需求的新出现或新发高后果疾病的临时现场调查提供了一种替代模式。