Surveillance of Twitter Data on COVID-19 Symptoms During the Omicron Variant Period: A Sentiment Analysis.

Zhang K, Guo Z, Ai Y, Li AR, Li A, Liu Z, Tse YYT, Zhou X, Liu T, Xiong C, Huang J, Ming WK

Open source

DOI
10.2196/66237
Published
2025 Sep 23
Container
JMIR formative research
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.2196/66237,
  title = {Surveillance of Twitter Data on COVID-19 Symptoms During the Omicron Variant Period: A Sentiment Analysis.},
  author = {Zhang K and Guo Z and Ai Y and Li AR and Li A and Liu Z and Tse YYT and Zhou X and Liu T and Xiong C and Huang J and Ming WK},
  year = {2025},
  journal = {JMIR formative research},
  doi = {10.2196/66237},
  url = {https://doi.org/10.2196/66237}
}

RIS

TY  - JOUR
TI  - Surveillance of Twitter Data on COVID-19 Symptoms During the Omicron Variant Period: A Sentiment Analysis.
AU  - Zhang K
AU  - Guo Z
AU  - Ai Y
AU  - Li AR
AU  - Li A
AU  - Liu Z
AU  - Tse YYT
AU  - Zhou X
AU  - Liu T
AU  - Xiong C
AU  - Huang J
AU  - Ming WK
PY  - 2025
JO  - JMIR formative research
DO  - 10.2196/66237
UR  - https://doi.org/10.2196/66237
ER  - 

APA

K, Z., Z, G., Y, A., AR, L., A, L., Z, L., YYT, T., X, Z., T, L., C, X., J, H., & WK, M. (2025). Surveillance of Twitter Data on COVID-19 Symptoms During the Omicron Variant Period: A Sentiment Analysis.. JMIR formative research. https://doi.org/10.2196/66237

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