Peer reviewed publications

ADBCAP biosecurity peer-reviewed research publications are listed on this page.

Year 2019

Bucini, G., Merrill, S. C. , Clark, E., Moegenburg, S. M., Zia, A., Koliba, C. J., Wiltshire S., Trinity, L., and Smith, J. M. (2019) Risk attitudes affect livestock biosecurity decisions with ramifications for disease control in a simulated production system. Frontiers in Veterinary Science, 6 Article 196. https://doi.org/10.3389/fvets.2019.00196

Merrill, S. C., Koliba, C. J., Moegenburg, S. M., Zia, A., Parker, J., Sellnow, T., Wiltshire, S., Bucini, G., Danehy, C., and Smith, J. M. (2019). Decision-making in livestock biosecurity practices amidst environmental and social uncertainty: evidence from an experimental game. PLOS ONE, 14(4): e0214500. https://doi.org/10.1371/journal.pone.0214500

Merrill, S. C., Moegenburg, S. M., Koliba, C. J., Zia, A., Trinity. L., Clark, E., Bucini, G., Wiltshire, S., Sellnow, T., Sellnow, D., and Smith, J. M. (2019). Willingness to comply with biosecurity in livestock facilities: evidence from experimental simulations. Frontiers in Veterinary Science, 6 Article 156. https://doi.org/10.3389/fvets.2019.00156

Pudenz, C. C., Schulz, L. L., and Tonsor, G. T. (2019). Adoption of Secure Pork Supply plan biosecurity by U.S. swine producers. Frontiers in Veterinary Science, 6 Article 146. https://doi.org/10.3389/fvets.2019.00146

Wiltshire, S., Zia, A., Koliba, C., Bucini, G., Clark, E., Merrill, S., Smith, J., and Moegenburg, S. (2019). Network meta-metrics: Using evolutionary computation to identify effective indicators of epidemiological vulnerability in a livestock production system model. Journal of Artificial Societies and Social Simulation, 22(2): 8. https://doi.org/10.18564/jasss.3991

Year 2018

Sellnow, T., Sellnow, Parker, D. J., and Martin, J. (2018). Risk and crisis communication narratives in response to rapidly emerging diseases. Journal of Risk Research. 22:7, 897-908. https://doi.org/10.1080/13669877.2017.1422787

Wu, Q., Schulz, L. L., and Tonsor, G. T. (2018). Using expert knowledge to understand biosecurity adoption Aimed at reducing Tier 1 disease risks in the U.S. livestock industry. Journal of Agricultural Science, 10(1). https://doi.org/10.5539/jas.v10n1p12

Schulz, L.L., Hayes, D. J., Holtkamp, D. J., and Swenson, D. A. (2018). Economic impact of university veterinary diagnostic laboratories: A case study. Preventive Veterinary Medicine, 151, 5-12. https://doi.org/10.1016/j.prevetmed.2017.12.018

Wiltshire, S. W. (2018). Using an agent-based model to evaluate the effect of producer specialization on the epidemiological resilience of livestock production networks. PLOS ONE 13(3): e0194013. https://doi.org/10.1371/journal.pone.0194013

Tonsor, G. T. (2018). Public animal welfare discussions in the United States: perspectives from a Missouri farm boy turned economist. Animal Frontiers, 8(1), 4–7. https://doi.org/10.1093/af/vfx002

Thompson, J. M., Tonsor, G. T., Pendell, D. L., and Preston, W. (2018). United States feedlot operator willingness to pay for disposal capacity to address foreign animal disease risk. Transboundary and Emerging Diseases, 65(6), 1951-1958. https://doi.org/10.1111/tbed.12976

Year 2017

Wu, Q., Schulz, L. L., Tonsor, G. T., and Smith, J. M. (2017). Expert views on effectiveness, feasibility, and current implementation of biosecurity measures for mitigating Tier 1 disease risks in the U.S. swine, beef cattle, and dairy industries. Journal of Veterinary Science & Technology, 8(2), 435. https://doi.org/10.4172/2157-7579.1000435

Sellnow, Timothy L., Parker, Jason S., Sellnow, Deanna D., Littlefield, Robert S., Helsel, Emily M., Getchell, Morgan C., Smith, Julia M., and Merrill, Scott C. (2017). Improving biosecurity through instructional crisis communication: Lessons learned from the PEDv outbreak. Journal of Applied Communications, 101(4). https://doi.org/10.4148/1051-0834.1298

Year 2015
Schulz, L.L. and Tonsor, G. T. (2015). Assessment of the economic impacts of porcine epidemic diarrhea virus in the United States. Journal of Animal Science, 93(11), 5111–5118. https://doi.org/10.2527/jas.2015-9136