Section of Animal Welfare and Disease Control, Department Veterinary and Animal Sciences, University of Copenhagen, Copenhagen DK-1870, Denmark; Section of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich CH 0857, Switzerland; Global Burden of Animal Diseases (GBADs), Liverpool L69 3BX, United Kingdom.
Faculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada.
J Dairy Sci. 2024 Sep;107(9):6945-6970. doi: 10.3168/jds.2023-24626. Epub 2024 May 23.
An economic simulation was carried out over 183 milk-producing countries to estimate the global economic impacts of 12 dairy cattle diseases and health conditions: mastitis (subclinical and clinical), lameness, paratuberculosis (Johne's disease), displaced abomasum, dystocia, metritis, milk fever, ovarian cysts, retained placenta, and ketosis (subclinical and clinical). Estimates of disease impacts on milk yield, fertility, and culling were collected from the literature, standardized, meta-analyzed using a variety of methods ranging from simple averaging to random-effects models, and adjusted for comorbidities to prevent overestimation. These comorbidity-adjusted disease impacts were then combined with a set of country-level estimates for lactational incidence or prevalence or both, herd characteristics, and price estimates within a series of Monte Carlo simulations that estimated and valued the economic losses due to these diseases. It was estimated that total annual global losses are US$65 billion (B). Subclinical ketosis, clinical mastitis, and subclinical mastitis were the costliest diseases modeled, resulting in mean annual global losses of approximately US$18B, US$13B, and US$9B, respectively. Estimated global annual losses due to clinical ketosis, displaced abomasum, dystocia, lameness, metritis, milk fever, ovarian cysts, paratuberculosis, and retained placenta were estimated to be US$0.2B, US$0.6B, US$0.6B, US$6B, US$5B, US$0.6B, US$4B, US$4B, and US$3B, respectively. Without adjustment for comorbidities, when statistical associations between diseases were disregarded, mean aggregate global losses would have been overestimated by 45%. Although annual losses were greatest in India (US$12B), the United States (US$8B), and China (US$5B), depending on the measure of losses used (losses as a percentage of gross domestic product, losses per capita, losses as a percentage of gross milk revenue), the relative economic burden of these dairy cattle diseases across countries varied markedly.
对 183 个产奶国家进行了经济模拟,以估计 12 种奶牛疾病和健康状况对全球经济的影响:乳腺炎(亚临床和临床)、跛行、副结核病(约翰氏病)、真胃移位、难产、子宫炎、产褥热、卵巢囊肿、胎衣不下和酮病(亚临床和临床)。从文献中收集了疾病对产奶量、繁殖力和淘汰率影响的估计值,对这些估计值进行了标准化,使用从简单平均到随机效应模型等多种方法进行了荟萃分析,并针对共病进行了调整,以防止高估。然后,将这些共病调整后的疾病影响与一系列国家一级的泌乳发生率或流行率或两者的估计值以及畜群特征和价格估计值相结合,在一系列蒙特卡罗模拟中进行了组合,这些模拟估计并评估了这些疾病造成的经济损失。据估计,全球每年的总损失为 650 亿美元(B)。亚临床酮病、临床乳腺炎和亚临床乳腺炎是模型中最昂贵的疾病,导致每年全球平均损失分别约为 180 亿美元、130 亿美元和 90 亿美元。据估计,临床酮病、真胃移位、难产、跛行、子宫炎、产褥热、卵巢囊肿、副结核病和胎衣不下每年给全球造成的损失分别为 2 亿美元、6 亿美元、6 亿美元、60 亿美元、50 亿美元、6 亿美元、40 亿美元、40 亿美元和 30 亿美元。如果不调整共病因素,当忽略疾病之间的统计学关联时,平均总全球损失将高估 45%。尽管印度(120 亿美元)、美国(80 亿美元)和中国(50 亿美元)的年损失最大,但取决于所使用的损失衡量标准(损失占国内生产总值的百分比、人均损失、损失占牛奶总收入的百分比),这些国家的奶牛疾病的相对经济负担差异显著。