Risk prioritization of pork supply movements during an FMD outbreak in the US - Data and Materials
收藏agdatacommons.nal.usda.gov2023-11-30 更新2025-01-21 收录
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https://agdatacommons.nal.usda.gov/articles/dataset/Risk_prioritization_of_pork_supply_movements_during_an_FMD_outbreak_in_the_US_-_Data_and_Materials/24662436/1
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In the event of a Foot and Mouth Disease (FMD) outbreak in the U.S., local, state, and federal authorities will implement a foreign animal disease emergency response plan restricting the pork supply chain movements and likely disrupting the continuity of the swine industry business. To minimize disruptions of the food supply while providing an effective response in an outbreak, it is necessary to ensure eradication strategies and risk management efforts are focused towards the most critical movements; those that are most necessary for business continuity and most likely to contribute to disease spread. This study recruited experts from production, harvest, retail, and allied pork industries to assess 30 common pork supply movements for their industry criticality. Movements spanned five categories: equipment, live animal production, genetics, harvest, and people. Experts were recruited via email to the American Association of Swine Veterinarians (AASV) mailing list and their assessments were collected via an online survey. For each of the thirty movements, experts were asked to rate the risk of FMD spread using a four-point scale, from no or slight risk of disease spread to high risk of disease spread. Then they were asked to estimate the time at which the restriction of each movement during an outbreak would have a significant negative consequence on business (e.g., high likelihood of bankruptcy, negative impact on animal welfare). These two facets of each movement were analyzed to provide an initial guide for prioritization of risk management efforts and resources to be better prepared in the event of a FMD outbreak in the US.
The Data.csv file contains the raw survey responses (location information collected by Qualtrics has been removed). Information about the variables and value labels can be found in the DataDictionary.txt file. The data can be read into the Analysis_Code.R file to perform analysis described in the paper and to create a static version of the Movements.html graph. Survey.pdf contains the survey questions with relevant skip and display logic. Resources in this dataset:Resource Title: Risk prioritization of pork supply movements during an FMD outbreak in the US - Data and Materials. File Name: Web Page, url: https://conservancy.umn.edu/handle/11299/181833 Link to dataset in the Data Repository for the University of Minnesota (DRUM).
The Data.csv file contains the raw survey responses (location information collected by Qualtrics has been removed). Information about the variables and value labels can be found in the DataDictionary.txt file. The data can be read into the Analysis_Code.R file to perform analysis described in the paper and to create a static version of the Movements.html graph. Survey.pdf contains the survey questions with relevant skip and display logic.
在美国爆发口蹄疫(FMD)的情况下,地方、州和联邦当局将实施外国动物疾病紧急应对计划,限制猪肉供应链的流动,并可能扰乱养猪行业的商业连续性。为了在爆发期间最大限度地减少对食品供应的干扰,同时提供有效的应对措施,确保根除策略和风险管理努力集中于最关键的流动上至关重要;这些流动对于业务连续性最为必要,同时也最有可能导致疾病传播。本研究招募了来自生产、收获、零售和相关猪肉行业的专家,评估了其行业关键性的30种常见猪肉供应链流动。流动涵盖了五大类别:设备、活畜生产、遗传学、收获和人员。专家通过电子邮件邀请加入美国猪兽医协会(AASV)的通讯录,并通过在线调查收集他们的评估。对于每一种三十种流动,专家被要求使用四点量表对FMD传播的风险进行评级,从无或轻微的疾病传播风险到高疾病传播风险。然后,他们被要求估计在爆发期间限制每种流动会对业务产生显著负面影响的时刻(例如,高破产可能性、对动物福利的负面影响)。通过对每种流动的这两个方面的分析,为风险管理努力和资源的优先级排序提供初步指导,以便在发生美国口蹄疫爆发时做好更充分的准备。
Data.csv文件包含原始调查响应(由Qualtrics收集的位置信息已被移除)。关于变量和价值标签的信息可以在DataDictionary.txt文件中找到。可以将数据读入Analysis_Code.R文件以执行论文中描述的分析,并创建Movements.html图形的静态版本。Survey.pdf包含带有相关跳过和显示逻辑的调查问题。本数据集的资源包括:资源标题:美国口蹄疫爆发期间猪肉供应链流动的风险优先级排序 - 数据和材料。文件名:网页,URL:https://conservancy.umn.edu/handle/11299/181833。数据集在明尼苏达大学数据存储库(DRUM)中的链接。
Data.csv文件包含原始调查响应(由Qualtrics收集的位置信息已被移除)。关于变量和价值标签的信息可以在DataDictionary.txt文件中找到。可以将数据读入Analysis_Code.R文件以执行论文中描述的分析,并创建Movements.html图形的静态版本。Survey.pdf包含带有相关跳过和显示逻辑的调查问题。
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agdatacommons.nal.usda.gov



