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Advances in using Internet searches to track dengue.
Yang, Shihao; Kou, Samuel C; Lu, Fred; Brownstein, John S; Brooke, Nicholas; Santillana, Mauricio.
Afiliação
  • Yang S; Department of Statistics, Harvard University, Cambridge, MA, USA.
  • Kou SC; Department of Statistics, Harvard University, Cambridge, MA, USA.
  • Lu F; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
  • Brownstein JS; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
  • Brooke N; Harvard Medical School, Boston, MA, USA.
  • Santillana M; The Synergist, Brussels, Belgium.
PLoS Comput Biol ; 13(7): e1005607, 2017 Jul.
Article em En | MEDLINE | ID: mdl-28727821
ABSTRACT
Dengue is a mosquito-borne disease that threatens over half of the world's population. Despite being endemic to more than 100 countries, government-led efforts and tools for timely identification and tracking of new infections are still lacking in many affected areas. Multiple methodologies that leverage the use of Internet-based data sources have been proposed as a way to complement dengue surveillance efforts. Among these, dengue-related Google search trends have been shown to correlate with dengue activity. We extend a methodological framework, initially proposed and validated for flu surveillance, to produce near real-time estimates of dengue cases in five countries/states Mexico, Brazil, Thailand, Singapore and Taiwan. Our result shows that our modeling framework can be used to improve the tracking of dengue activity in multiple locations around the world.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Internet / Dengue / Ferramenta de Busca Tipo de estudo: Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: America do sul / Asia / Brasil / Mexico Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Internet / Dengue / Ferramenta de Busca Tipo de estudo: Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: America do sul / Asia / Brasil / Mexico Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos