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Global risk model for vector-borne transmission of Zika virus reveals the role of El Niño 2015.
Caminade, Cyril; Turner, Joanne; Metelmann, Soeren; Hesson, Jenny C; Blagrove, Marcus S C; Solomon, Tom; Morse, Andrew P; Baylis, Matthew.
Afiliación
  • Caminade C; Department of Epidemiology and Population Health, Institute of Infection and Global Health, University of Liverpool, Liverpool CH64 7TE, United Kingdom; Cyril.Caminade@liverpool.ac.uk.
  • Turner J; Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool L69 3GL, United Kingdom.
  • Metelmann S; Department of Epidemiology and Population Health, Institute of Infection and Global Health, University of Liverpool, Liverpool CH64 7TE, United Kingdom.
  • Hesson JC; Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool L69 3GL, United Kingdom.
  • Blagrove MS; Department of Geography and Planning, School of Environmental Sciences, University of Liverpool, Liverpool L69 7ZT, United Kingdom.
  • Solomon T; Department of Epidemiology and Population Health, Institute of Infection and Global Health, University of Liverpool, Liverpool CH64 7TE, United Kingdom.
  • Morse AP; Department of Medical Biochemistry and Microbiology, Zoonosis Science Center, Uppsala University, Uppsala 751 23, Sweden.
  • Baylis M; Department of Epidemiology and Population Health, Institute of Infection and Global Health, University of Liverpool, Liverpool CH64 7TE, United Kingdom.
Proc Natl Acad Sci U S A ; 114(1): 119-124, 2017 01 03.
Article en En | MEDLINE | ID: mdl-27994145

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Modelos Estadísticos / El Niño Oscilación del Sur / Virus Zika / Infección por el Virus Zika Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Animals / Humans País/Región como asunto: Africa Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2017 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Modelos Estadísticos / El Niño Oscilación del Sur / Virus Zika / Infección por el Virus Zika Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Animals / Humans País/Región como asunto: Africa Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2017 Tipo del documento: Article