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一种用于牛病毒性腹泻病毒传入新生奶牛群后传播的随机风险分析模型。

A stochastic risk-analysis model for the spread of bovine viral diarrhea virus after introduction to naïve cow-calf herds.

机构信息

Department of Clinical Sciences, Kansas State University, Manhattan, KS 66502, USA.

出版信息

Prev Vet Med. 2010 Jun 1;95(1-2):86-98. doi: 10.1016/j.prevetmed.2010.02.009. Epub 2010 Mar 20.

Abstract

A stochastic SIR model was developed to simulate the spread of bovine viral diarrhea virus (BVDV) through a cow-calf herd and estimate the effect of the virus on the herd, including abortions, calf morbidity, and calf mortality. The model was applied with three herd sizes (400, 100, and 50 head) and four control strategies (no intervention, vaccination of breeding stock, testing all calves pre-breeding and culling of persistently infected calves, and both vaccination of adults and testing and culling of calves). When no control strategy was implemented the BVDV reproductive rate (R(E-PI)) of persistently infected calves (PI's), vertical transmission rate from cows to calves and the mortality rate of PI's were influential in the number of PI's produced in the herd. When a vaccination program alone was implemented the vaccine efficacy was influential in the number of PI's produced in the herd. All control strategies decreased the effects of BVDV on the herd at both 1 and 10 years compared to no control. In most cases the combination of adult vaccination and calf testing and culling resulted in the largest decrease in the both the median and 95% prediction interval for the range of effects from BVDV. The effect of control strategies was most apparent in the 400 head herds. All control strategies increased the probability of early clearance of PI's from the herd for all herd sizes. Fifty and 100 head herds cleared infection by 4 and 9 years respectively even without a control program but 400 head herds did not always clear infection after 10 years unless a testing program was implemented. The model presented is valuable in assessing the effect of control strategies and the effects of disease parameters on BVDV spread in beef herds.

摘要

建立了一个随机 SIR 模型来模拟牛病毒性腹泻病毒 (BVDV) 在奶牛-小牛群中的传播,并评估病毒对牛群的影响,包括流产、小牛发病率和小牛死亡率。该模型应用于三种牛群规模(400、100 和 50 头)和四种控制策略(无干预、种畜接种疫苗、所有小牛配种前检测和淘汰持续感染的小牛、以及成年牛接种疫苗和检测并淘汰小牛)。当不实施任何控制策略时,持续感染的小牛(PI)的 BVDV 繁殖率(R(E-PI))、牛到小牛的垂直传播率和 PI 的死亡率对牛群中 PI 的数量有影响。当仅实施疫苗接种计划时,疫苗效力对牛群中 PI 的数量有影响。与不进行控制相比,所有控制策略都降低了 BVDV 对牛群的影响,无论是在 1 年还是 10 年。在大多数情况下,成年牛接种疫苗和小牛检测与淘汰的组合导致 BVDV 对牛群影响的中位数和 95%预测区间的范围最大程度地降低。控制策略的效果在 400 头规模的牛群中最为明显。所有控制策略都增加了 PI 从牛群中早期清除的可能性,所有牛群规模都是如此。50 头和 100 头规模的牛群在没有控制计划的情况下分别在 4 年和 9 年清除了感染,但 400 头规模的牛群在 10 年后并不总是清除感染,除非实施检测计划。该模型在评估控制策略的效果和疾病参数对牛病毒性腹泻病毒在肉牛群中传播的影响方面具有重要价值。

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