Veterinarian perceptions and practices in prevention and control of influenza virus in the Midwest United States swine farms

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2023-02-03
Authors
Moraes, Daniel C. A.
Vincent Baker, Amy L.
Wang, Xin
Berg, Emily
Trevisan, Giovani
Zhang, Jianqiang
Jayaraman, Swaminathan
Gauger, Phillip C.
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Frontiers Media S. A.
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Zhu, Zhengyuan
Director of the Center for Survey Statistics and Methodology and Professor
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Linhares, Daniel
Associate Professor
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Veterinary Diagnostic and Production Animal Medicine
The mission of VDPAM is to educate current and future food animal veterinarians, population medicine scientists and stakeholders by increasing our understanding of issues that impact the health, productivity and well-being of food and fiber producing animals; developing innovative solutions for animal health and food safety; and providing the highest quality, most comprehensive clinical practice and diagnostic services. Our department is made up of highly trained specialists who span a wide range of veterinary disciplines and species interests. We have faculty of all ranks with expertise in diagnostics, medicine, surgery, pathology, microbiology, epidemiology, public health, and production medicine. Most have earned certification from specialty boards. Dozens of additional scientists and laboratory technicians support the research and service components of our department.
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Statistics

The Department of Statistics seeks to teach students in the theory and methodology of statistics and statistical analysis, preparing its students for entry-level work in business, industry, commerce, government, or academia.

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The Department of Statistics was formed in 1948, emerging from the functions performed at the Statistics Laboratory. Originally included in the College of Sciences and Humanities, in 1971 it became co-directed with the College of Agriculture.

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1948-present

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Abstract
Influenza A virus (IAV) is an endemic respiratory pathogen affecting swine worldwide and is a public health concern as a zoonotic pathogen. Veterinarians may respond to IAV infection in swine with varied approaches depending on their perception of its economic impact on human and animal health. This study considered three primary veterinary practice categories: swine exclusive veterinary practitioner, large animal practitioner, which corresponds to veterinarians that work predominantly with food animals including but not exclusively porcine, and mixed animal practitioner, which corresponds to veterinarians working with companion and food animals. This survey aimed to assess U.S. veterinarian perceptions, biosecurity practices, and control methods for IAV in swine. In this study, 54.5% (188/345) of the veterinarians that were targeted responded to all portions of the survey. The study results presented different perceptions regarding IAV among veterinarians in different types of veterinary practices and the current IAV mitigation practices implemented in swine farms based on strategic decisions. Collectively, this study also revealed the veterinarians' perceptions that IAV as a health problem in swine is increasing, IAV has a moderate economic impact, and there is a high level of concern regarding IAV circulating in swine. These findings highlight the need for IAV surveillance data, improved vaccine strategies, as well as important opportunities regarding methods of control and biosecurity. Additionally, results of this survey suggest biosecurity practices associated with the veterinarian's swine operations and prevention of zoonotic diseases can be strengthened through annual IAV vaccination of humans and support of sick leave policies for farm workers.
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This article is published as Moraes, Daniel CA, Amy L Vincent Baker, Xin Wang, Zhengyuan Zhu, Emily Berg, Giovani Trevisan, Jianqiang Zhang et al. "Veterinarian perceptions and practices in prevention and control of influenza virus in the Midwest United States swine farms." Frontiers in Veterinary Science 10 (2023): 68. DOI: 10.3389/fvets.2023.1089132. Copyright 2023 Moraes, L. Vincent Baker, Wang, Zhu, Berg, Trevisan, Zhang, Jayaraman, Linhares, Gauger and S. Silva. Attribution 4.0 International (CC BY 4.0). Posted with permission.
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