Using a Portfolio Approach to Evaluate Animal Health Surveillance Portfolios in the United States

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dc.creatorJohnson, Kamina K.
dc.creatorAntognoli, Maria C.
dc.creatorAhola, Sara C.
dc.creatorGustafson, Lori L.
dc.creatorBranan, Matthew A.
dc.creatorRemmenga, Marta D.
dc.creatorJones, Rebecca D.
dc.creatorOrloski, Kathleen A.
dc.creatorHsi, David J.
dc.date2017-04-01T20:11:17Z
dc.date.accessioned2026-07-09T10:33:29Z
dc.descriptionSelecting the optimal level of surveillance to implement for an animal disease is important when decision-makers are allocating resources within a surveillance portfolio (collection of all surveillance activities for a species). Decision-makers should consider economically efficient options that meet effectiveness requirements of a surveillance system (i.e., disease detection capability, timeliness, etc.). In this research, we look at components in two disease surveillance systems within a species portfolio and compare current surveillance testing levels with four other optional levels. Option 1 does not meet the detection capability thresholds, while option 2 meets thresholds for one disease but not the other. Options 3 and 4 meet the detection capability thresholds and result in a cost savings compared to current levels. We conclude that Option 3 would be the optimum level of surveillance as it has a lower cost-effectiveness ratio compared to option 4 and the current level, as well as a cost savings of $637,500.
dc.identifierdoi:10.22004/ag.econ.235985
dc.identifierhttps://ageconsearch.umn.edu/record/235985/files/Using%20Portfolio%20Theory%20to%20Allocate%20ResourcesV3.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/235985
dc.identifier.urihttp://hdl.handle.net/123456789/619866
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/235985
dc.titleUsing a Portfolio Approach to Evaluate Animal Health Surveillance Portfolios in the United States
dc.typeText

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