Gustavo uses geospatial analytics to map the spread of infectious diseases and forecast disease emergence. He develops epidemiological tools to investigate the occurrence and spread of animal infectious diseases, providing science-based support for decision-making about prevention and control. Interests include transboundary disease epidemiology, swine health and disease modeling and surveillance.

Roles

• Fellows

Publications

• Development of a Dissemination Platform for Spatiotemporal and Phylogenetic Analysis of Avian Infectious Bronchitis Virus (2021)
• Impact of changes of horse movement regulations on the risks of equine infectious anemia: A risk assessment approach (2021)
• Interpretable machine learning applied to on-farm biosecurity and porcine reproductive and respiratory syndrome virus (2021)
• Interpretable machine learning applied to on-farm biosecurity and porcine reproductive and respiratory syndrome virus (2021)
• Modeling the role of mortality-based response triggers on the effectiveness of African swine fever control strategies (2021)
• Modelling and assessing additional transmission routes for porcine reproductive and respiratory syndrome virus: vehicle movements and feed ingredients (2021)
• Modelling the role of mortality-based response triggers on the effectiveness of African swine fever control strategies (2021)
• Modelling the transmission and vaccination strategy for porcine reproductive and respiratory syndrome virus (2021)
• MrIML: Multi-response interpretable machine learning to model genomic landscapes (2021)
• Multiple species animal movements: Network properties, disease dynamic and the impact of targeted control actions (2021)

View all publications