Your browser doesn't support javascript.
loading
Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak.
Gui, Xinning; Wang, Yue; Kou, Yubo; Reynolds, Tera Leigh; Chen, Yunan; Mei, Qiaozhu; Zheng, Kai.
Afiliación
  • Gui X; University of California, Irvine, Irvine, CA.
  • Wang Y; University of Michigan, Ann Arbor, MI.
  • Kou Y; Purdue University, West Lafayette, IN.
  • Reynolds TL; University of California, Irvine, Irvine, CA.
  • Chen Y; University of California, Irvine, Irvine, CA.
  • Mei Q; University of Michigan, Ann Arbor, MI.
  • Zheng K; University of California, Irvine, Irvine, CA.
AMIA Annu Symp Proc ; 2017: 820-829, 2017.
Article en En | MEDLINE | ID: mdl-29854148
ABSTRACT
Social media are important platforms for risk communication during public health crises. Effective dissemination of accurate, relevant, and up-to-date health information is important for the public to raise awareness and develop risk management strategies. This study investigates Zika virus-related information circulated on Twitter, identifying the patterns of dissemination of popular tweets and tweets from public health authorities such as the CDC. We leveraged a large corpus of Twitter data covering the entire year of 2016. We analyzed the data using quantitative and qualitative content analyses, followed by machine learning to scale the manual content analyses to the corpus. The results revealed possible discrepancies between what the general public was most interested in, or concerned about, and what public health authorities provided during the Zika outbreak. We provide implications for public health authorities to improve risk communication through better alignment with the general public's information needs during public health crises.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Práctica de Salud Pública / Brotes de Enfermedades / Difusión de la Información / Información de Salud al Consumidor / Medios de Comunicación Sociales / Aprendizaje Automático / Infección por el Virus Zika Tipo de estudio: Etiology_studies / Qualitative_research / Risk_factors_studies Límite: Humans Idioma: En Revista: AMIA Annu Symp Proc Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Práctica de Salud Pública / Brotes de Enfermedades / Difusión de la Información / Información de Salud al Consumidor / Medios de Comunicación Sociales / Aprendizaje Automático / Infección por el Virus Zika Tipo de estudio: Etiology_studies / Qualitative_research / Risk_factors_studies Límite: Humans Idioma: En Revista: AMIA Annu Symp Proc Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Canadá