Department of Farm Animal Health, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Chair group Business Economics, Wageningen University, Wageningen, the Netherlands.
PLoS One. 2020 Apr 7;15(4):e0230448. doi: 10.1371/journal.pone.0230448. eCollection 2020.
Clinical ketosis (CK) and subclinical ketosis (SCK) are associated with lower milk production, lower reproductive performance, an increased culling of cows and an increased probability of other disorders. Quantifying the costs related to ketosis will enable veterinarians and farmers to make more informed decisions regarding the prevention and treatment of the disease. The overall aim of this study was to estimate the combined costs of CK and SCK using assumptions and input variables from a typical Dutch context. A herd level dynamic stochastic simulation model was developed, simulating 385 herds with 130 cows each. In the default scenario there was a CK probability of almost 1% and a SCK probability of 11%. The herds under the no risk scenario had no CK and SCK, while the herds under the high-risk scenario had a doubled probability of CK and SCK compared to the default scenario. The results from the simulation model were used to estimate the annual cash flows of the herds, including the costs related to milk production losses, treatment, displaced abomasum, mastitis, calf management, culling and feed, as well as the returns from sales of milk and calves. The difference between the annual net cash flows of farms in the no risk scenario and the default scenario provides the estimate of the herd level costs of ketosis. Average herd level costs of ketosis (CK and SCK combined) were €3,613 per year for a default farm and €7,371 per year for a high-risk farm. The costs for a single CK case were on average €709 (with 5 and 95 percentiles of €64 and €1,196, respectively), while the costs for a single SCK case were on average €150 (with 5 and 95 percentiles of €18 and €422, respectively) for the default farms. The differences in costs between cases occurred due to differences between cases (e.g., cow culled vs cow not culled, getting another disease vs not getting another disease).
临床酮病 (CK) 和亚临床酮病 (SCK) 与产奶量降低、繁殖性能降低、奶牛淘汰率增加以及其他疾病发生概率增加有关。量化与酮病相关的成本将使兽医和农民能够在预防和治疗疾病方面做出更明智的决策。本研究的总体目标是使用来自典型荷兰背景的假设和输入变量来估算 CK 和 SCK 的综合成本。开发了一个 herd 级别的动态随机模拟模型,模拟了 385 个 herd,每个 herd 有 130 头牛。在默认情景下,CK 的概率接近 1%,SCK 的概率为 11%。无风险情景下的 herd 没有 CK 和 SCK,而高风险情景下的 herd 的 CK 和 SCK 概率是默认情景下的两倍。模拟模型的结果用于估计 herd 的年度现金流量,包括与产奶量损失、治疗、皱胃移位、乳腺炎、犊牛管理、淘汰和饲料相关的成本,以及牛奶和犊牛销售的回报。无风险情景下 farm 的年度净现金流量与默认情景下 farm 的年度净现金流量之差即为 herd 级别的酮病成本估计值。对于默认 farm,酮病(CK 和 SCK 合并)的 herd 级平均成本为每年 3613 欧元,对于高风险 farm,酮病的 herd 级平均成本为每年 7371 欧元。单个 CK 病例的平均成本为 709 欧元(5%和 95%的分位数分别为 64 欧元和 1196 欧元),而单个 SCK 病例的平均成本为 150 欧元(5%和 95%的分位数分别为 18 欧元和 422 欧元),对于默认 farm 而言。病例之间的成本差异是由于病例之间的差异(例如,淘汰牛与未淘汰牛、患其他疾病与未患其他疾病)造成的。