Risk prioritization of pork supply movements during an FMD outbreak in the US - Data and Materials

Loading...
Thumbnail Image
Statistics
View Statistics

Collection period

2015-01
2016-02

Date completed

2016-08-03

Date updated

Time period coverage

Geographic coverage

United States

Source information

Journal Title

Journal ISSN

Volume Title

Title

Risk prioritization of pork supply movements during an FMD outbreak in the US - Data and Materials

Published Date

2016-08-22

Group

Author Contact

Patterson, Gilbert R
patte606@umn.edu

Type

Dataset
Survey Data-Quantitative

Abstract

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.

Description

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.

Referenced by

Patterson, Mohr, Snider, Lindsay, Davies, Goldsmith, & Sampedro (2016). Risk prioritization of pork supply movements during a FMD outbreak in the US.
https://doi.org/10.3389/fvets.2016.00097

Related to

Replaces

Publisher

Funding information

University of Minnesota USDA APHIS Cooperative Agreement 15-1900-1493-CA

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Suggested citation

Patterson, Gilbert R; Hofelich Mohr, Alicia; Snider, Tim; Lindsay, Thomas A; Davies, Peter; Goldsmith, Tim; Sampedro, Fernando. (2016). Risk prioritization of pork supply movements during an FMD outbreak in the US - Data and Materials. Retrieved from the University Digital Conservancy, http://doi.org/10.13020/D6NC7R.
View/Download file
File View/OpenDescriptionSize
Pattersonetal2016_FMD_Survey.pdfSurvey Instrument151.43 KB
Pattersonetal2016_FMD_Data.csvData File31.73 KB
Pattersonetal2016_FMD_Analysis_Code.RR script for analysis7.91 KB
Pattersonetal2016_FMD_DataDictionary.txtData Dictionary17.04 KB
Pattersonetal2016_FMD_Movements.htmlInteractive graph of main findings1.59 MB

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.