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An Adaptive Digital Intelligence System to Support Infodemic Management: The WHO EARS Platform.
White, Becky; Cabalero, Ivan; Nguyen, Tim; Briand, Sylvie; Pastorino, Agnese; Purnat, Tina D.
  • White B; Department of Epidemic and Pandemic Preparedness and Prevention, WHO Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
  • Cabalero I; Citibeats, Barcelona, Spain.
  • Nguyen T; Department of Epidemic and Pandemic Preparedness and Prevention, WHO Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
  • Briand S; Department of Epidemic and Pandemic Preparedness and Prevention, WHO Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
  • Pastorino A; Department of Epidemic and Pandemic Preparedness and Prevention, WHO Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
  • Purnat TD; Department of Epidemic and Pandemic Preparedness and Prevention, WHO Health Emergencies Programme, World Health Organization, Geneva, Switzerland.
Stud Health Technol Inform ; 302: 891-892, 2023 May 18.
Artículo en Inglés | MEDLINE | ID: covidwho-2327054
ABSTRACT
The WHO Early AI-Supported Response with Social Listening (EARS) platform was developed to help inform infodemic response during the COVID-19 pandemic. There was continual monitoring and evaluation of the platform and feedback from end-users was sought on a continual basis. Iterations were made to the platform in response to user needs, including the introduction of new languages and countries, and additional features to better enable more fine-grained and rapid analysis and reporting. The platform demonstrates how a scalable, adaptable system can be iterated upon to continue to support those working in emergency preparedness and response.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Medios de Comunicación Sociales / COVID-19 Tipo de estudio: Estudio experimental / Estudio observacional Límite: Humanos Idioma: Inglés Revista: Stud Health Technol Inform Asunto de la revista: Informática Médica / Investigación sobre Servicios de Salud Año: 2023 Tipo del documento: Artículo País de afiliación: Shti230296

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Medios de Comunicación Sociales / COVID-19 Tipo de estudio: Estudio experimental / Estudio observacional Límite: Humanos Idioma: Inglés Revista: Stud Health Technol Inform Asunto de la revista: Informática Médica / Investigación sobre Servicios de Salud Año: 2023 Tipo del documento: Artículo País de afiliación: Shti230296