Sow farms collect large amounts of data every day, but that is not enough: real-time surveillance of such production data still has significant gaps. Thus, it is essential to integrate the data collected on the farm with the tools available to help swine production systems identify real-time productivity deviations in order to have accuracy in the detection of even the smallest of changes. That way, producers can make faster decisions by identifying disease outbreaks, like PRRSV, earlier. In this episode, Mafalda Mil-Homens, M.Sc., discusses the research she is developing in her doctorate, which is about building a disease surveillance system for PRRSV outbreaks in breeding herds by using production and feed data.Meet the guest: Mafalda Pedro Mil-Homens, M.Sc.ExperienceCurrent: Ph.D. student at Iowa State UniversityBackgroundM.Sc. (Iowa State University)Faculty of Veterinary Medicine (University of Lisbon)Connect with the guest!𝗟𝗶𝘀𝘁𝗲𝗻 𝗼𝗻 𝗔𝗽𝗽𝗹𝗲 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀, 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗼𝗿 𝗮𝗻𝘆 𝗺𝗮𝗷𝗼𝗿 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺.Visit us at https://swinehealthblackbelt.comThe Swine Health Blackbelt Podcast is trusted and supported by innovative companies like:- Boehringer Ingelheim- JBI- United Animal Health- Adare- Elanco- Standard Nutrition- Healthy Climate Solutions

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