Supplementary files for an expert-based risk ranking framework for assessing potential pathogens in the live baitfish trade
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2020-12-01
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Supplementary files for an expert-based risk ranking framework for assessing potential pathogens in the live baitfish trade
Published Date
2022-05-06
Author Contact
McEachran, Margaret C.
thom4412@umn.edu
thom4412@umn.edu
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Abstract
The purpose of this study was to develop a “hazard identification” and ranking tool to identify the pathogens that pose the highest risk to wild fish from the release of live baitfish by recreational anglers in freshwater systems. We developed a screening protocol and semi-quantitative stochastic risk ranking framework by combining published data with expert elicitation (n=25) and applied the framework to identify high-priority pathogens for the bait supply in Minnesota, USA. Normalized scores were developed for seven risk criteria (likelihood of transfer, prevalence in bait supply, likelihood of colonization, current distribution, economic impact if established, ecological impact if established, and host species) to characterize a pathogen’s ability to persist in the bait supply and cause impacts to wild fish species of concern. Of an initial list of 33, 15 potential pathogens met the criteria for inclusion and were evaluated using the semi-quantitative framework. The generalist macroparasite Schizocotyle acheilognathi was identified as presenting highest overall threat to wild Minnesota fish, followed by the microsporidian Ovipleistophora ovariae, and viral hemorrhagic septicemia virus. Our findings contribute to the development of risk-based prevention and surveillance methods in support of front-line managers charged with maintaining both the aquatic sporting industry and sustainable, healthy natural resources in Minnesota. In addition, the ranking framework provides a standardized conceptual framework for prioritizing management as novel disease needs emerge.
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Supplementary files include full definitions for scoring pathogen risk and uncertainty, raw expert opinion scores and Excel sheet with @Risk code for conducting weighted risk score simulations, and results of statistical tests.
Referenced by
McEachran, MC, Sampedro, F, Travis, DA, Phelps, NBD. An expert-based risk ranking framework for assessing potential pathogens in the live baitfish trade. Transbound Emerg Dis. 2021; 68: 3463– 3473.
https://doi.org/10.1111/tbed.13951
https://doi.org/10.1111/tbed.13951
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Minnesota Environment and Natural Resources Trust Fund as recommended by the Minnesota Aquatic Invasive Species Research Center and the MN Legislative-Citizen Commission on Minnesota Resources
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McEachran, Margaret C.; Travis, Dominic A.; Phelps, Nicholas B. D.; Sampedro, Fernando. (2022). Supplementary files for an expert-based risk ranking framework for assessing potential pathogens in the live baitfish trade. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/py5d-dj44.
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Readme.txt
Readme documentation file
(22.39 KB)
Supporting Information 1_Definitions_Scores_Justifications.xlsx
Description of pathogen scoring scheme, list of pathogens evaluated, and references for a hazard prioritization framework designed to identify and rank harmful pathogens relevant to the live baitfish pathway.
(61.27 KB)
Supporting Information 2_Expert_Weights_AtRisk_Weighted_Scores.xlsx
Pathogen unweighted scores (criteria scores), raw data from expert elicitation process (criteria weights), and @Risk code in Microsoft Excel for calculating total weighted risk scores for each of the 15 fish pathogens evaluated.
(3.76 MB)
Supporting Information 3_pairwise_tests_pvalues.xlsx
Results of pairwise tests evaluating significant differences between mean weighted pathogen risk scores resulting from an integrated expert opinion-based hazard prioritization framework.
(13.44 KB)
Supporting Information 1-3.zip
CSV files of each Excel worksheet
(6.63 MB)
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