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Evidence of Influenza A Infection and Risk of Transmission between Pigs and Farmworkers

Abstract: Evidence of influenza A infection and risk of transmission between pigs and farmworkers

Interspecies transmission of influenza A virus (IAV) between pigs and people represents a threat to both animal and public health. To better understand the risks of influenza transmission at the human-animal interface, we evaluated 1) the rate of IAV detection in swine farmworkers before and after work during two human influenza seasons, 2) assessed risk factors associated with IAV detection in farmworkers and 3) characterized the genetic sequences of IAV detected in both workers and pigs. Of 58 workers providing nasal passage samples during 8-week periods during the 2017/18 and 2018/19 influenza seasons, 33 (57%) tested positive by rRT-PCR at least once. Sixteen (27%) workers tested positive before work and 24 (41%) after work. At the sample level, 58 of 1,785 nasal swabs (3.2%) tested rRT-PCR positive, of which 20 of 898 (2.2%) were collected prior to work and 38 of 887 (4.3%) after work. Although farmworkers were more likely to test positive at the end of the working day (OR = 1.98, 95% CI 1.14-3.41), there were no influenza-like illness (ILI) symptoms, or other risk indicators, associated with IAV detection before or after reporting to work.

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Turning Data into Better Decisions: BioCV's Intelligent Monitoring System for Modern Pork Producers

Video: Turning Data into Better Decisions: BioCV's Intelligent Monitoring System for Modern Pork Producers

In this exclusive interview, Jens Kjaer, CEO of BioCV Inc., discusses the North American launch of the BioCV Intelligent Sow Monitoring System and how advanced sensor technology and machine learning are changing the way producers manage sow herds. Using smart ear tags that continuously monitor temperature, behavior, and movement, the system provides real-time alerts for heat detection, farrowing, fever, lameness, and other critical health events—often before they become visible to barn staff.

Kjaer explains how the technology helps producers improve breeding efficiency, reduce non-productive days, identify health challenges earlier, and better support sows during farrowing. He also shares how BioCV's predictive analytics can help operations optimize labor, improve piglet survival, reduce sow losses, and enhance overall productivity in today's increasingly data-driven swine industry.

Learn how this innovative technology is giving producers actionable insights on every sow, every day, helping teams move from reactive management to proactive decision-making while improving both animal welfare and profitability. www.biocv.info/lisa-sow