Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology Study.

Husnayain, Atina; Shim, Eunha; Fuad, Anis; Su, Emily Chia-Yu

Husnayain, Atina; Shim, Eunha; Fuad, Anis; Su, Emily Chia-Yu.

Afiliación

Husnayain A; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Shim E; Department of Mathematics, Soongsil University, Seoul, Republic of Korea.
Fuad A; Department of Biostatistics, Epidemiology, and Population Health, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Su EC; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.

J Med Internet Res ; 23(12): e34178, 2021 12 22.

Article en En | MEDLINE | ID: mdl-34762064

Asunto(s)

COVID-19; Motor de Búsqueda; Humanos; Infodemiología; Pandemias; SARS-CoV-2

Palabras clave

COVID-19; South Korea; infodemiology; internet search; prediction

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Motor de Búsqueda / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Taiwán

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