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