A Dynamic System to Control the Entry of Non-Authorized Visitors and Detect Superspreader Farms in Strongly Interconnected Systems.

Simple Summary: This paper addresses the need for effective biosecurity due to disease challenges, the emergence and re-emergence of new pathogens, the growing pressure of antibiotic restrictions, and the welfare and sustainability of livestock farming. It introduces the Biorisk® External platform, a cloud-based visitor control system that enhances data management and biosecurity compliance protocols. This system analyzes visitation patterns, revealing trends and categorizing visits by authorization and risk status. This network analysis also allows for the identification of 'superspreader' farms that represent a high epidemiological risk. The results advocate for integrating technology into biosecurity protocols to optimize standard operation procedures (SOPs) to improve animal health and mitigate economic losses, highlighting the importance of data-driven decision-making in modern livestock farming. This study explores the critical challenges the livestock sector faces, particularly those related to biosecurity, animal welfare, and antibiotic use restrictions. It highlights the need to implement advanced information and communication technologies to enhance operational sustainability and decision-making. We introduce the Biorisk® External platform, a cloud-based visit control system designed to optimize biosecurity management by accurately tracking visitor activity through QR codes and GPS geolocation. During a 6-month study period from July to December 2023, we analyzed visits to 142 different swine production sites and 30 vehicle movement patterns. The analysis revealed trends in visitation patterns and compliance with biosecurity SOPs. The software categorized visits as authorized (A), not authorized with access (NAWA), and not authorized without access (NAWOA), providing a framework to assess biosecurity risks. Additionally, network analysis identified interconnected farms, which were classified as 'superspreaders', highlighting their considerable risk of disease transmission. This study advocates for the integration of digital systems in livestock operations to improve biosecurity measures, facilitate real-time data input, and support informed decision-making. By enhancing biosecurity protocols through technology, the livestock industry can better safeguard animal health, increase operational efficiency, and reduce potential economic losses associated with disease outbreaks. [ABSTRACT FROM AUTHOR]