Automated identification of insect vectors of Chagas disease in Brazil and Mexico: the Virtual Vector Lab.

Gurgel-Gonçalves, Rodrigo; Komp, Ed; Campbell, Lindsay P; Khalighifar, Ali; Mellenbruch, Jarrett; Mendonça, Vagner José; Owens, Hannah L; de la Cruz Felix, Keynes; Peterson, A Townsend; Ramsey, Janine M

Gurgel-Gonçalves, Rodrigo; Komp, Ed; Campbell, Lindsay P; Khalighifar, Ali; Mellenbruch, Jarrett; Mendonça, Vagner José; Owens, Hannah L; de la Cruz Felix, Keynes; Peterson, A Townsend; Ramsey, Janine M.

Afiliación

Gurgel-Gonçalves R; Faculty of Medicine, Universidade de Brasília, Brasilia, DF, Brazil.
Komp E; Information and Telecommunication Technology Center, University of Kansas, Lawrence, KS, United States.
Campbell LP; Biodiversity Institute, University of Kansas, Lawrence, KS, United States.
Khalighifar A; Biodiversity Institute, University of Kansas, Lawrence, KS, United States.
Mellenbruch J; Spencer Art Museum, University of Kansas, Lawrence, KS, United States.
Mendonça VJ; Faculty of Medicine, Universidade de Brasília, Brasilia, DF, Brazil.
Owens HL; Centro de Ciências da Saúde, Universidade Federal do Piauí, Brazil.
de la Cruz Felix K; Biodiversity Institute, University of Kansas, Lawrence, KS, United States.
Peterson AT; Florida Museum of Natural History, University of Florida, Gainesville, FL, United States.
Ramsey JM; Centro Regional de Investigación en Salud Pública, Instituto Nacional de Salud Publica, Tapachula, Chiapas, Mexico.

PeerJ ; 5: e3040, 2017.

Article en En | MEDLINE | ID: mdl-28439451

Palabras clave

Automation; Chagas disease; Identification; Primary occurrence data; Triatominae

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies País/Región como asunto: America do sul / Brasil / Mexico Idioma: En Revista: PeerJ Año: 2017 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos

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