Gustavo Machado Profile

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Dr. Gustavo Machado

Gustavo Machado, DVM, MSc, PhD

Assistant Professor of Emerging and Transboundary Diseases


Global Health News

Leptospirosis Risk Calculation

October 25, 2018 | Veterinary Medicine News

RESEARCH NEWS

Researchers Calculate Priority Index for Leptospirosis Risk in Brazil

Researchers from NC State University and the University of São Paulo have developed a risk-based priority index to help reduce leptospirosis in Brazil. 

Biography

Gustavo Machado is an epidemiologist specializing in emerging and transboundary infectious diseases.

Originally from Brazil, he has ongoing collaborations in his home country, and through his postdoctoral position in the Veterinary Population Medicine Department at the University of Minnesota, he has built collaborations with researchers in Kazakhstan and Russia.

At NC State’s College of Veterinary Medicine, where he currently holds a position as Assistant Professor in the Department of Population Health and Pathobiology, Machado uses computer modeling to predict the risk of emerging infectious diseases around the world, using data collected from countries with past or present disease endemics. With these models, he develops methods for preventing disease emergence in unaffected countries, and ways to control the spread of existing outbreaks.

Since his PhD degree at the Federal University of Rio Grande do Sul in Porto Alegre, Brazil, Machado has used several approaches for risk prediction and the establishment of automatic classifications, including machine learning, spatial and temporal mapping, and population genetics. He focuses his research on the dynamic properties of infectious diseases in the geographic space, and uses remote sensing data and environmental factors associated with disease occurrence and transmission to predict disease spread and occurrence.

Global Health Research Fields

  • Emerging and transboundary diseases
  • Epidemiology

Main Areas of Expertise

  • Emerging and zoonotic transboundary diseases
  • Risk prediction of emerging diseases using spatial and temporal modeling

Global Health Research Interests

  • Identifying and assessing emerging infectious diseases to reduce risk of disease emergence in other countries
  • Employing spatial and temporal models to design and implement methods for reducing the impact and transmission of infectious diseases 

Countries of Experience

  • Brazil
  • Kazakhstan
  • Russia

Ongoing Projects

  • Tracking the emergence and transmission of:
    • African swine fever and classical swine fever in Brazil
    • African swine fever and lumpy skin disease in cattle in Russia
    • Leptospirosis in horses in Brazil
  • Assessing the circulation of African swine fever, classical swine fever and lumpy skin disease in Kazakhstan

Network (collaborators)

Selected Publications

Boaz R, Corberán-Vallet A, Lawson A, de Ferreira Lima Jr. FE, Edel Donato L, Vieira Alves R, Machado G, Freire de Carvalho M, Pompei J, Del Rio Vilas VJ. Integration of animal health and public health surveillance sources to exhaustively inform the risk of zoonosis: An application to visceral leishmaniasis data in Brazil. Spat Spatiotemporal Epidemiol 2018; In Press.

Baquero OS, Machado G. Spatiotemporal dynamics and risk factors for human leptospirosis in Brazil. Sci Rep 2018 Oct; 8(1): 15170 (Pubmed)

Gressler LT, Machado G, da Silveira BP, Cohen ND, Corbellini LG, Leotti VB, Diehl GN, Dos Santos LC, de Vargas AC. Prevalence of Rhodococcus equi from the nasal cavity of 1010 apparently healthy horses. Equine Vet J 2018 Sep; 50(5): 667-71 (Pubmed)

Machado G, Weiblen C, Escobar LE. Potential distribution of Pythium insidiosum in Rio Grande do Sul, Brazil, and projections to neighbor countries. Transbound Emerg Dis 2018 Jun; [Epub ahead of print] (Pubmed)

Hamrick PN, Aldighieri S, Machado G, Leonel DG, Vilca LM, Uriona S, Schneider MC. Geographic patterns and environmental factors associated with human yellow fever presence in the Americas. PLoS Negl Trop Dis 2017 Sep; 11(9):e0005897 (Pubmed)

Fávero JF, Da Silva AS, Campigotto G, Machado G, Daniel de Barros L, Garcia JL, Vogel FF, Mendes RE, Stefani LM. Risk factors for Neospora caninum infection in dairy cattle and their possible cause-effect relation for disease. Microb Pathog 2017 Sep; 110: 202-7 (Pubmed)

Fávero JF, de Araújo HL, Lilenbaum W, Machado G, Tonin AA, Baldissera MD, Stefani LM, Da Silva AS. Bovine leptospirosis: Prevalence, associated risk factors for infection and their cause-effect relation. Microb Pathog 2017 Jun; 107: 149-54 (Pubmed)

Campigotto G, da Silva AS, Volpato A, Fávero J, Glombowsky P, Galli GM, Machado VS, Portella LP, Vogel FF, Stefani LM, Machado G. Risk factors for Toxoplasma gondii in sheep of southern Brazil. Comp Clin Pathol 2017 Feb; 26: 631-5 (Springer Link)

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