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奶牛群自动跛行检测系统的成本效益分析:一种动态规划方法。

Cost benefit analysis of automatic lameness detection systems in dairy herds: A dynamic programming approach.

机构信息

Section of Epidemiology, Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853. USA.

Section of Epidemiology, Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853. USA.

出版信息

Prev Vet Med. 2020 May;178:104993. doi: 10.1016/j.prevetmed.2020.104993. Epub 2020 Apr 10.

Abstract

Epidemiological data establish that lameness is second only to mastitis as the dairy industry's most prevalent and costly animal welfare issue. Using an automatic lameness detection (ALD) system in which continuous, accurate detection is coupled with proper treatment, is key for reducing economic losses due to lameness. It is reasonable to assume that the cost of lameness would vary with its severity. Therefore, our first objective was to estimate the cost of different lameness severity levels as a function of milk production, lameness risk, conception probability, and treatment cost using a dynamic programming (DP) model. Our second objective was to conduct a cost benefit analysis for ALD systems which can reduce production losses through early detection and treatment of lameness, when compared to visual-detection (VD; i.e., performed by humans) systems. The default production loss parameters for the VD system used as inputs to the DP model were either sourced from the literature or were estimated based on data from a field trial. The production loss parameters for the ALD system used as inputs to the DP model were based on extrapolations of parameter values used for the VD system. The profit per present cow per year under assumed expenses and revenues decreased from $426.05 (when lameness incidence was assumed to be 0%) to $389.69 when lameness incidence was 19.5 %. Out of the 19.5 % lameness incidence in our default scenario, 9.8 % were moderate cases and 9.7 % were severe cases. Average cost of lameness was $36.36 at 19.5 % incidence. Average cost of lameness increased with increased incidence and was respectively $82.05, $195.05, and $286.87 at the low, medium, and high incidence scenarios. We used an operational framework which compared the lameness costs between the VD and ALD systems with 25 %, 50 % and 75 % net avoided costs (NAC) for the 10 year lifespan of the ALD system, at default, low, medium and high lameness incidence scenarios. The net return per cow per year from using an ALD system over a VD system was $13, at low incidence and 25 % NAC. The net return per cow per year for the ALD system was as high as $99 at high incidence and 75 % NAC. Out of 351 (3 system prices, 3 system efficiencies, 3 levels of lameness incidence and 13 different herd sizes) scenarios tested, 295 resulted in a net profit within the system lifespan of 10 years, thus justifying the investment in ALD systems.

摘要

流行病学数据表明,跛行是仅次于乳腺炎的奶牛养殖业最普遍和代价最高的动物福利问题。使用自动跛行检测 (ALD) 系统,实现连续、准确的检测,并辅以适当的治疗,是减少因跛行造成的经济损失的关键。可以合理假设跛行的成本会因其严重程度而有所不同。因此,我们的第一个目标是使用动态规划 (DP) 模型,根据产奶量、跛行风险、受孕概率和治疗成本,估算不同跛行严重程度的成本。我们的第二个目标是对 ALD 系统进行成本效益分析,当与视觉检测 (VD;即由人类进行) 系统相比,ALD 系统可以通过早期检测和治疗跛行来减少生产损失。用于 DP 模型的 VD 系统的默认生产损失参数要么来自文献,要么根据现场试验数据进行估计。用于 DP 模型的 ALD 系统的生产损失参数基于 VD 系统参数值的外推。在假设费用和收入的情况下,每头现牛每年的利润从 426.05 美元(假设跛行发病率为 0%)下降到 19.5%的发病率为 389.69 美元。在我们的默认方案中,19.5%的跛行发病率中,9.8%为中度病例,9.7%为重度病例。在 19.5%的跛行发病率下,跛行的平均成本为 36.36 美元。随着发病率的增加,跛行的平均成本分别为低、中、高发病率情况下的 82.05 美元、195.05 美元和 286.87 美元。我们使用了一个运营框架,该框架将 VD 和 ALD 系统之间的跛行成本进行了比较,在 ALD 系统的 10 年寿命内,在默认、低、中、高跛行发病率情况下,ALD 系统的净避免成本 (NAC) 分别为 25%、50%和 75%。在低发病率和 25%的 NAC 情况下,使用 ALD 系统相对于 VD 系统,每头牛每年的净利润为 13 美元。在高发病率和 75%的 NAC 情况下,ALD 系统每头牛每年的净利润高达 99 美元。在测试的 351 个场景(3 个系统价格、3 个系统效率、3 个跛行发病率水平和 13 个不同的畜群规模)中,有 295 个场景在系统 10 年的寿命内实现了净利润,从而证明了对 ALD 系统的投资是合理的。

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