Mafalda Pedro Mil-Homens: PRRSV Outbreak Accuracy | Ep. 60
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.
Experience
Background
Connect with the guest!
๐๐ถ๐๐๐ฒ๐ป ๐ผ๐ป ๐๐ฝ๐ฝ๐น๐ฒ ๐ฃ๐ผ๐ฑ๐ฐ๐ฎ๐๐๐, ๐ฆ๐ฝ๐ผ๐๐ถ๐ณ๐ ๐ผ๐ฟ ๐ฎ๐ป๐ ๐บ๐ฎ๐ท๐ผ๐ฟ ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ.
Visit us at https://swinehealthblackbelt.com
The 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
Create your
podcast in
minutes
It is Free