Gustavo Machado

Bio

Dr. Gustavo Machado is a 2010 graduate of the Veterinary College at the Federal University of Santa Maria, Brazil. I completed a Master of Science in veterinary epidemiology at the Federal University of Rio Grande do Sul in Brazil on Bovine Viral Diarrhoea (BVD) epidemiology in 2013.

Dr. Gustavo worked with computer scientists on the development of machine learning tools applied to epidemiology while pursuing his PhD in 2016. In 2016 he held a position as assistant professor in the Department of Preventive Veterinary Medicine of the Federal University of Rio Grande do Sul.

He subsequently left after 9 months for a postdoctoral associate position in the Veterinary Population Medicine Department, at the University of Minnesota. Dr. Machado will be leading his research on transboundary epidemiology in the Department of Population Health and Pathobiology.

Area(s) of Expertise

GLOBAL HEALTH, INFECTIOUS DISEASES
Currently my research is focused on the integration of biogeographic approaches and traditional spatiotemporal statistics for practical mapping the spread of infectious diseases, and forecasting disease emergence.
I am interested:
• Transboundary disease epidemiology
• Swine health
• Disease modeling and surveillance
• One health

Additional investigations include:
• The spatial and temporal dimensions of infectious disease outcomes within an environmental epidemiology framework with applications to health surveillance.
• Development 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.

I have also dedicated my efforts on the development and application of spatiotemporal machine learning to animal health.

Publications

• The Rapid Access Biosecurity (RAB) app™ Handbook , (2023)
• A discrete-time survival model for porcine epidemic diarrhea virus , (2022)
• A discrete-time survival model for porcine epidemic diarrhoea virus , TRANSBOUNDARY AND EMERGING DISEASES (2022)
• Assessing epidemiological parameters and dissemination characteristics of the 2000 and 2001 foot-and-mouth disease outbreaks in Rio Grande do Sul, Brazil , (2022)
• Coupling spatial statistics with social network analysis to estimate distinct risk areas of disease circulation to improve risk-based surveillance , TRANSBOUNDARY AND EMERGING DISEASES (2022)
• Culturable Microbial Population From the Upper Respiratory Tract of 1,010 Clinically Healthy Horses in Southern Brazil , JOURNAL OF EQUINE VETERINARY SCIENCE (2022)
• Estimating the effectiveness of control actions on African swine fever transmission in commercial swine populations in the United States , (2022)
• Modeling between-farm transmission dynamics of porcine epidemic diarrhea virus: Characterizing the dominant transmission routes , PREVENTIVE VETERINARY MEDICINE (2022)
• Modeling foot-and-mouth disease dissemination in Brazil and evaluating the effectiveness of control measures , (2022)
• Modelling African swine fever virus spread in pigs using time-respective network data: Scientific support for decision makers , TRANSBOUNDARY AND EMERGING DISEASES (2022)

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