Aujeszky’s disease is one of the main pig viral diseases and results in considerable economic losses in the pork production industry. The disease can be controlled using preventive measures such as improved stock management and vaccination throughout the pig-rearing period. We developed a stochastic model based on Population Dynamics P systems (PDP) models for a standard pig production system to differentiate between the effects of pig farm management regimes and vaccination strategies on the control of Aujeszky’s disease under several different epidemiological scenarios. Our results suggest that after confirming the diagnosis, early vaccination of most of the population (>75%) is critical to decrease the spread of the virus and minimize its impact on pig productivity. The direct economic cost of an outbreak of Aujeszky’s disease can be extremely high on a previously uninfected farm (from 352–792 Euros/sow/year) and highlights the positive benefits of investing in vaccination measures to control infections. We demonstrate the usefulness of computational models as tools in the evaluation of preventive medicine programs aimed at limiting the impact of disease on animal production.

中文翻译：

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接种疫苗是使用种群动力学P系统模型控制猪Aujeszky病暴发的合适工具。

Aujeszky病是主要的猪病毒性疾病之一，在猪肉生产行业造成了可观的经济损失。可以通过预防措施来控制疾病，例如在整个养猪期间改善存量管理和接种疫苗。我们基于人口动态P系统（PDP）模型为标准的养猪生产系统开发了一个随机模型，以区分在几种不同的流行病学情况下，养猪场管理制度和疫苗接种策略对控制Aujeszky病的影响。我们的结果表明，在确诊后，对大多数人群（> 75％）进行早期疫苗接种对于减少病毒的传播并使对猪生产力的影响降至最低至关重要。在以前没有感染的农场，爆发Aujeszky病的直接经济成本可能非常高（从352-792欧元/母猪/年），这突出表明了投资疫苗接种措施以控制感染的积极好处。我们证明了计算模型作为预防医学计划评估工具的有用性，旨在限制疾病对动物生产的影响。