Yan, Q.; Shan, S.; Sun, M.; Zhao, F.; Yang, Y.; Li, Y.
A Social Media Infodemic-Based Prediction Model for the Number of Severe and Critical COVID-19 Patients in the Lockdown Area. Int. J. Environ. Res. Public Health 2022, 19, 8109.
https://doi.org/10.3390/ijerph19138109
AMA Style
Yan Q, Shan S, Sun M, Zhao F, Yang Y, Li Y.
A Social Media Infodemic-Based Prediction Model for the Number of Severe and Critical COVID-19 Patients in the Lockdown Area. International Journal of Environmental Research and Public Health. 2022; 19(13):8109.
https://doi.org/10.3390/ijerph19138109
Chicago/Turabian Style
Yan, Qi, Siqing Shan, Menghan Sun, Feng Zhao, Yangzi Yang, and Yinong Li.
2022. "A Social Media Infodemic-Based Prediction Model for the Number of Severe and Critical COVID-19 Patients in the Lockdown Area" International Journal of Environmental Research and Public Health 19, no. 13: 8109.
https://doi.org/10.3390/ijerph19138109
APA Style
Yan, Q., Shan, S., Sun, M., Zhao, F., Yang, Y., & Li, Y.
(2022). A Social Media Infodemic-Based Prediction Model for the Number of Severe and Critical COVID-19 Patients in the Lockdown Area. International Journal of Environmental Research and Public Health, 19(13), 8109.
https://doi.org/10.3390/ijerph19138109