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 with the Brazilian veterinary services-2020
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.
15 Jan 2021: The lab received funding from USDA-APHIS NADPRP to further develop the RABapp (Rapid Access Biosecurity) initiative for on-farm pig biosecurity and modeling.
20 Jan 2021: A new paper!!, led by Dr. Galvis The between‐farm transmission dynamics of Porcine Epidemic Diarrhea Virus: A short‐term forecast modeling comparison and the effectiveness of control strategies @ Transboundary and Emerging Diseases.
28 Jan 2021: New paper!!, led by Dr. Galvis again Modeling the transmission and vaccination strategy for porcine reproductive and respiratory syndrome virus @ Transboundary and Emerging Diseases.
19 Feb 2021: A new paper!!, led by Dr. Jara The Potential Distribution of Pythium insidiosum in the Chincoteague National Wildlife Refuge, Virginia @ Frontiers in Veterinary Science.
05 May 2021: A new paper!!, led by Dr. Machado Modeling the role of mortality-based response triggers on the effectiveness of African swine fever control strategies @ biorxiv