PDF(Pubmed)
Abstract：
From 2016 to 2020, the \"PraeRi\" study, conducted by three German veterinary universities, was aimed at enhancing animal health and welfare in dairy farms. With 765 dairy farms visited and 101,307 animals examined, this study provided a basis for improving animal health and welfare. The study population comprised three different regions representing a broad variety of characteristics. To ensure representative estimates, a sample size of 250 farms was determined for each region, employing a stratified sampling plan based on farm size. According to the information provided by the farmers, the most commonly occurring disease in their herds was mastitis without general disorder (14.2% to 16.3% of the herd-depending on the region). For most disorders, prevalence data were lowest for the region South compared with the two remaining regions. Multivariable regression analyses were performed to identify risk factors for various target variables, and the results were communicated through individual reports and benchmarking flyers to participating farmers. The authors encountered challenges in management and communication due to the project\'s size in terms of personnel, data, and farms examined. Harmonizing data management and hypothesis testing across all involved parties added complexity.
摘要：
从2016年到2020年，“PraeRi”研究，由三所德国兽医大学进行，旨在提高奶牛场的动物健康和福利。参观了765个奶牛场，检查了101,307只动物，本研究为改善动物健康和福利提供了依据。研究人群包括三个不同的区域，代表了各种各样的特征。为了确保有代表性的估计，每个地区确定了250个农场的样本量，采用基于农场规模的分层抽样计划。根据农民提供的信息，牛群中最常见的疾病是无一般疾病的乳腺炎（占牛群的14.2％至16.3％-取决于地区）。对于大多数疾病，与其余两个地区相比,南部地区的患病率数据最低.进行多元回归分析，以确定各种目标变量的危险因素，结果通过个人报告和基准传单传达给参与的农民。由于项目在人员方面的规模，作者在管理和沟通方面遇到了挑战，数据,和农场检查。协调所有相关方的数据管理和假设检验增加了复杂性。
