模拟利用农场生物安全措施降低风险

E. Cortus, A. E. Neu, K. Janni, S. Noll, C. Clanton
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摘要

摘要农场层面的生物安全需要考虑多个个体、设备和物资在不同地点之间的长期流动。活动在空间或时间上相交的点是病原体传播的危险点。农场采用的生物安全出入境做法会影响这些风险点。我们开发了一个模型来模拟人类在家禽和其他家畜养殖场移动时颗粒的转移。颗粒可包括致病性颗粒(如细菌、病毒)和惰性颗粒(如皮屑、灰尘和饲料颗粒)。该模型的假设包括:人类是农场周围粒子运动的唯一载体;农场上的人和地方拥有固定数量的粒子;颗粒的损失或增加的机会与人类接触或与地方或区域相互作用的时间和表面积有关。该模型使用一个或多个工人在农场多个地点之间指定的日常运动。粒子通过替换事件(即在生物安全进入事件中,工人粒子从系统中移除并用惰性粒子代替)或交换事件(即在谷仓杂务期间,谷仓粒子替换工人粒子,反之亦然)在工人和场所之间转移。模型中的随机化过程决定了在任何事件中致病粒子是否与惰性粒子一起转移,从而使模型结果具有可变性。我们探讨了病原体来源、病原体浓度、生物安全进出实践和事件顺序的组合如何影响致病颗粒最终进入畜舍、工人或多畜舍家禽养殖场周围其他地方的风险。该模型的目的是为农场和组织提供评估和加强生物安全计划和交流战略的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulating Risk Reduction Using Biosecurity Practices on Farm
Abstract. Farm-level biosecurity needs to consider the movement of multiple individuals, equipment and supplies among various places over time. The points in space or time where movements intersect are risk points for pathogen transmission. Biosecure entry and exit practices employed on a farm influence these risk points. We developed a model to simulate the transfer of particles by humans moving around on poultry and other livestock farms. Particles can include pathogenic particles (such as bacteria, viruses) and inert particulate (such as dander, dust and feed particles). The model assumptions include: humans are the only vectors for particle movement around a farm; humans and places on a farm possess a fixed number of particles; and the chance of loss or gain of particulates relates to the time and surface area of the human that touches or interacts with a place or area. The model uses a specified daily routine of movement by one or more workers among multiple places on a farm. Particles transfer between workers and places using replace events (i.e. worker particles are removed from the system and replaced with inert particles during a biosecure entry event), or swap events (i.e. barn particles replace worker particles and vice versa during barn chores). A randomization process in the model dictates whether pathogenic particles transfer along with inert particles during any event, lending variability to the model results. We explore how combinations of pathogen source, pathogen concentration of the source, biosecure entry/exit practices, and sequence of events influence the risk of pathogenic particles ending up in barns, on workers or other places around a multi-barn poultry site. The intention of the model is to provide farms and organizations opportunity to assess and enhance biosecurity plans and communication strategies.
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