Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study.

Ahn SH, Yim K, Won HS, Kim KM, Jeong DH

Open source

DOI: 10.2196/63476
Published: 2024 Dec 16
Container: Journal of medical Internet research
Publisher: Not recorded
Open access: yes

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uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.2196/63476,
  title = {Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study.},
  author = {Ahn SH and Yim K and Won HS and Kim KM and Jeong DH},
  year = {2024},
  journal = {Journal of medical Internet research},
  doi = {10.2196/63476},
  url = {https://doi.org/10.2196/63476}
}

RIS

TY  - JOUR
TI  - Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study.
AU  - Ahn SH
AU  - Yim K
AU  - Won HS
AU  - Kim KM
AU  - Jeong DH
PY  - 2024
JO  - Journal of medical Internet research
DO  - 10.2196/63476
UR  - https://doi.org/10.2196/63476
ER  -

APA

SH, A., K, Y., HS, W., KM, K., & DH, J. (2024). Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study.. Journal of medical Internet research. https://doi.org/10.2196/63476

Source records

pubmed · retrieved 2026-09-24T22:29:51.501Z
europe-pmc · retrieved 2026-09-24T22:29:51.494Z
doaj · retrieved 2026-09-24T22:29:51.501Z