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Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches.
Brownstein, John S; Chu, Shuyu; Marathe, Achla; Marathe, Madhav V; Nguyen, Andre T; Paolotti, Daniela; Perra, Nicola; Perrotta, Daniela; Santillana, Mauricio; Swarup, Samarth; Tizzoni, Michele; Vespignani, Alessandro; Vullikanti, Anil Kumar S; Wilson, Mandy L; Zhang, Qian.
Afiliação
  • Brownstein JS; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, United States.
  • Chu S; Computational Epidemiology Group, Division of Emergency Medicine, Boston Children's Hospital, Boston, MA, United States.
  • Marathe A; Harvard Medical School, Boston, MA, United States.
  • Marathe MV; Network Dynamics and Simulation Science Laboratory, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, United States.
  • Nguyen AT; Network Dynamics and Simulation Science Laboratory, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, United States.
  • Paolotti D; Network Dynamics and Simulation Science Laboratory, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, United States.
  • Perra N; Computational Epidemiology Group, Division of Emergency Medicine, Boston Children's Hospital, Boston, MA, United States.
  • Perrotta D; Booz Allen Hamilton, Boston, MA, United States.
  • Santillana M; Computational Epidemiology Laboratory, Institute for Scientific Interchange, Turin, Italy.
  • Swarup S; Centre for Business Networks Analysis, University of Greenwich, London, United Kingdom.
  • Tizzoni M; Computational Epidemiology Laboratory, Institute for Scientific Interchange, Turin, Italy.
  • Vespignani A; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, United States.
  • Vullikanti AKS; Computational Epidemiology Group, Division of Emergency Medicine, Boston Children's Hospital, Boston, MA, United States.
  • Wilson ML; Harvard Medical School, Boston, MA, United States.
  • Zhang Q; Network Dynamics and Simulation Science Laboratory, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, United States.
JMIR Public Health Surveill ; 3(4): e83, 2017 Nov 01.
Article em En | MEDLINE | ID: mdl-29092812
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Screening_studies Idioma: En Revista: JMIR Public Health Surveill Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Screening_studies Idioma: En Revista: JMIR Public Health Surveill Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos