Fischer, A.; Badier, N.; Zhang, L.; Elbéji, A.; Wilmes, P.; Oustric, P.; Benoy, C.; Ollert, M.; Fagherazzi, G.
Long COVID Classification: Findings from a Clustering Analysis in the Predi-COVID Cohort Study. Int. J. Environ. Res. Public Health 2022, 19, 16018.
https://doi.org/10.3390/ijerph192316018
AMA Style
Fischer A, Badier N, Zhang L, Elbéji A, Wilmes P, Oustric P, Benoy C, Ollert M, Fagherazzi G.
Long COVID Classification: Findings from a Clustering Analysis in the Predi-COVID Cohort Study. International Journal of Environmental Research and Public Health. 2022; 19(23):16018.
https://doi.org/10.3390/ijerph192316018
Chicago/Turabian Style
Fischer, Aurélie, Nolwenn Badier, Lu Zhang, Abir Elbéji, Paul Wilmes, Pauline Oustric, Charles Benoy, Markus Ollert, and Guy Fagherazzi.
2022. "Long COVID Classification: Findings from a Clustering Analysis in the Predi-COVID Cohort Study" International Journal of Environmental Research and Public Health 19, no. 23: 16018.
https://doi.org/10.3390/ijerph192316018
APA Style
Fischer, A., Badier, N., Zhang, L., Elbéji, A., Wilmes, P., Oustric, P., Benoy, C., Ollert, M., & Fagherazzi, G.
(2022). Long COVID Classification: Findings from a Clustering Analysis in the Predi-COVID Cohort Study. International Journal of Environmental Research and Public Health, 19(23), 16018.
https://doi.org/10.3390/ijerph192316018