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Potential Use for Serosurveillance of Feral Swine to Map Risk for Anthrax Exposure, Texas, USA

Anthrax is a disease of concern in many mammals, including humans. Management primarily consists of prevention through vaccination and tracking clinical-level observations because environmental isolation is laborious and bacterial distribution across large geographic areas difficult to confirm. Feral swine (Sus scrofa) are an invasive species with an extensive range in the southern United States that rarely succumbs to anthrax. We present evidence that feral swine might serve as biosentinels based on comparative seroprevalence in swine from historically defined anthrax-endemic and non-anthrax-endemic regions of Texas. Overall seropositivity was 43.7% (n = 478), and logistic regression revealed county endemicity status, age-class, sex, latitude, and longitude were informative for predicting antibody status. However, of these covariates, only latitude was statistically significant (β = -0.153, p = 0.047). These results suggests anthrax exposure in swine, when paired with continuous location data, could serve as a proxy for bacterial presence in specific areas.

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Farm Health Guardian | Digital Biosecurity in Real Time

Video: Farm Health Guardian | Digital Biosecurity in Real Time

Disease risk, biosecurity, and real-time monitoring continue to be major topics across the pork industry. In this episode of Swine Web Industry Perspectives, presented by Farm Health Guardian, we discuss how digital biosecurity and real-time data are changing the way producers think about herd protection, people movement, and operational decision-making.

The conversation explores:

disease risk in modern pork production,

the impact of people movement on biosecurity,

the importance of real-time monitoring,

digital biosecurity technology,

and how Farm Health Guardian developed tools designed to support modern swine operations.

As the industry continues focusing on prevention, preparedness, and operational efficiency, connected technologies and actionable data are becoming increasingly important parts of modern herd health management.