Our research focuses on developing machine-learning, mathematical modelling methods, and tools with direct application to emerging and transboundary animal diseases. Ultimately, we are interested in providing an understanding of infectious disease transmission processes among livestock populations.
The Machado lab also works internationally, providing capacity building for veterinary services to help identify vulnerabilities and prepare responses to current endemic diseases and future threats.
Workshop for Brazilian veterinary services, 2022.
Our team develops and applies epidemiological tools to investigate the occurrence and spread of animal infectious diseases, especially transboundary disease, providing science-based support for decision making with regard to prevention and control. In the past few years, we have dedicated efforts to the development and application of machine-learning approaches, applied to animal and human health. We have also developed and used methods for modeling disease distributions.
Currently, our research is focused on mathematical modeling and traditional statistics for practical mapping of the spread of infectious diseases among pig populations.
December 11 2021: 3 new grants funded by USDA-APHIS-NADPRP (link here)
November 7 2021: A new paper!, led by PhD student Sykes Interpretable machine learning applied to on-farm biosecurity and porcine reproductive and respiratory syndrome virus (link here)
November 27 2021: A new paper!, led by MS. Ellington, Unraveling the Contact Network Patterns between Commercial Turkey Operation in North Carolina and the Distribution of Salmonella Species (link here)
October 21 2021: A new paper!, led by Dr. Machado, Modelling the role of mortality-based response triggers on the effectiveness of African swine fever control strategies (link here)