Gustavo Machado
North Carolina State University
198 Papers
402 Citations
Gustavo Machado is an academic researcher from North Carolina State University. The author has contributed to research in topics: Biology & Population. The author has an hindex of 19, co-authored 176 publications. Previous affiliations of Gustavo Machado include Universidade Federal de Minas Gerais & Universidade Federal do Rio Grande do Sul.
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Papers
Odds Ratio or Prevalence Ratio? An Overview of Reported Statistical Methods and Appropriateness of Interpretations in Cross-sectional Studies with Dichotomous Outcomes in Veterinary Medicine.
Brayan Alexander Fonseca Martinez,Vanessa Bielefeldt Leotti,Gustavo S. Silva,Luciana Neves Nunes,Gustavo Machado,Luis Gustavo Corbellini +5 more
TL;DR: The findings of this study indicate that although there are methods that directly estimate PR, many studies in veterinary science do not use these methods and misinterpret the OR estimated by the logistic regression.
Spatiotemporal dynamics and risk factors for human Leptospirosis in Brazil.
TL;DR: The modeled spatiotemporal risk dynamics of human leptospirosis morbidity and lethality are modeled, and an easily interpretable risk-based priority index for all Brazilian federative units is attributed to suggest improvements to the national surveillance system.
Bovine leptospirosis: Prevalence, associated risk factors for infection and their cause-effect relation.
Juscivete F. Fávero,Hugo Libonati de Araujo,Walter Lilenbaum,Gustavo Machado,Alexandre A. Tonin,Matheus D. Baldissera,Lenita M. Stefani,Aleksandro S. Da Silva +7 more
TL;DR: It is concluded that leptospirosis is prevalent in dairy cattle in the west part of Santa Catarina state, as well as the access of dogs to pastures and contact of rodents with feed increase the chance of cattle infection by Leptospira spp.
82
What variables are important in predicting bovine viral diarrhea virus? A random forest approach
TL;DR: The results suggest that the use of machine learning algorithms, especially RF, is a promising methodology for the analysis of cross-sectional studies, presenting a satisfactory predictive power and the ability to identify predictors that represent potential risk factors for BVDV investigation.
79
Identifying outbreaks of Porcine Epidemic Diarrhea virus through animal movements and spatial neighborhoods.
Gustavo Machado,Carles Vilalta,Mariana Recamonde-Mendoza,Cesar Corzo,Montserrat Torremorell,Andrez Perez,Kimberly VanderWaal +6 more
TL;DR: The model presented here forms the foundation for near real-time disease mapping and will advance disease surveillance and control for endemic swine pathogens in the United States.