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美国肉牛饲养场中口蹄疫潜在传播、临床表现及检测的元种群模型

A Meta-Population Model of Potential Foot-and-Mouth Disease Transmission, Clinical Manifestation, and Detection Within U.S. Beef Feedlots.

作者信息

Cabezas Aurelio H, Sanderson Michael W, Volkova Victoriya V

机构信息

Department of Diagnostic Medicine and Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States.

Center for Outcomes Research and Epidemiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States.

出版信息

Front Vet Sci. 2020 Sep 23;7:527558. doi: 10.3389/fvets.2020.527558. eCollection 2020.

Abstract

Foot-and-mouth disease (FMD) has not been reported in the U.S. since 1929. Recent outbreaks in previously FMD-free countries raise concerns about potential FMD introductions in the U.S. Mathematical modeling is the only tool for simulating infectious disease outbreaks in non-endemic territories. In the majority of prior studies, FMD virus (FMDv) transmission on-farm was modeled assuming homogenous animal mixing. This assumption is implausible for U.S. beef feedlots which are divided into multiple home-pens without contact between home-pens except fence line with contiguous home-pens and limited mixing in hospital pens. To project FMDv transmission and clinical manifestation in a feedlot, we developed a meta-population stochastic model reflecting the contact structure. Within a home-pen, the dynamics were represented assuming homogenous animal mixing by a modified SLIR (susceptible-latent-infectious-recovered) model with four additional compartments tracing cattle with subclinical or clinical FMD and infectious status. Virus transmission among home-pens occurred via cattle mixing in hospital-pen(s), cowboy pen rider movements between home-pens, airborne, and for contiguous home-pens fence-line and via shared water-troughs. We modeled feedlots with a one-time capacity of 4,000 (small), 12,000 (medium), and 24,000 (large) cattle. Common cattle demographics, feedlot layout, endemic infectious and non-infectious disease occurrence, and production management were reflected. Projected FMD-outbreak duration on a feedlot ranged from 49 to 82 days. Outbreak peak day (with maximum number of FMD clinical cattle) ranged from 24 (small) to 49 (large feedlot). Detection day was 4-12 post-FMD-introduction with projected 28, 9, or 4% of cattle already infected in a small, medium, or large feedlot, respectively. Depletion of susceptible cattle in a feedlot occurred by day 23-51 post-FMD-introduction. Parameter-value sensitivity analyses were performed for model outputs. Detection occurred sooner if there was a higher initial proportion of latent animals in the index home-pen. Shorter outbreaks were associated with a shorter latent period and higher bovine respiratory disease morbidity (impacting the in-hospital-pen cattle mixing occurrence). This first model of potential FMD dynamics on U.S. beef feedlots shows the importance of capturing within-feedlot cattle contact structure for projecting infectious disease dynamics. Our model provides a tool for evaluating FMD outbreak control strategies.

摘要

自1929年以来,美国未曾报告过口蹄疫(FMD)疫情。近期在以前无口蹄疫的国家爆发的疫情引发了人们对美国可能引入口蹄疫的担忧。数学建模是模拟非流行地区传染病爆发的唯一工具。在大多数先前的研究中,对口蹄疫病毒(FMDv)在农场内的传播进行建模时假设动物混合均匀。对于美国的肉牛饲养场来说,这一假设是不合理的,因为饲养场被划分为多个圈舍,除了相邻圈舍之间的围栏线以及医院圈舍内有限的混合外,各圈舍之间没有接触。为了预测饲养场中FMDv的传播和临床表现,我们开发了一个反映接触结构的元种群随机模型。在一个圈舍内,通过一个修改后的SLIR(易感-潜伏-感染-康复)模型来描述动态,该模型增加了四个额外的隔间,用于追踪患有亚临床或临床口蹄疫及感染状态的牛。圈舍之间的病毒传播通过医院圈舍内的牛混合、牛仔在圈舍间的走动、空气传播,以及相邻圈舍的围栏线和共享水槽发生。我们对一次性饲养能力为4000头(小型)、12000头(中型)和24000头(大型)牛的饲养场进行了建模。模型反映了常见的牛群统计数据、饲养场布局、地方流行性传染病和非传染病的发生情况以及生产管理。预测的饲养场口蹄疫疫情持续时间为49至82天。疫情高峰日(临床口蹄疫牛数量最多时)为24天(小型饲养场)至49天(大型饲养场)。检测日为引入口蹄疫后4至12天,预计小型、中型或大型饲养场中分别已有28%、9%或4%的牛被感染。饲养场中易感牛在引入口蹄疫后第23至51天耗尽。对模型输出进行了参数值敏感性分析。如果指数圈舍中潜伏动物的初始比例较高,则检测会更早发生。疫情持续时间较短与潜伏期较短和牛呼吸道疾病发病率较高有关(影响医院圈舍内牛的混合情况)。这个关于美国肉牛饲养场潜在口蹄疫动态的首个模型表明,捕捉饲养场内牛的接触结构对于预测传染病动态很重要。我们的模型为评估口蹄疫疫情控制策略提供了一个工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd49/7543087/bf468369b208/fvets-07-527558-g0001.jpg

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