Aouissi, H.A.; Hamimes, A.; Ababsa, M.; Bianco, L.; Napoli, C.; Kebaili, F.K.; Krauklis, A.E.; Bouzekri, H.; Dhama, K.
Bayesian Modeling of COVID-19 to Classify the Infection and Death Rates in a Specific Duration: The Case of Algerian Provinces. Int. J. Environ. Res. Public Health 2022, 19, 9586.
https://doi.org/10.3390/ijerph19159586
AMA Style
Aouissi HA, Hamimes A, Ababsa M, Bianco L, Napoli C, Kebaili FK, Krauklis AE, Bouzekri H, Dhama K.
Bayesian Modeling of COVID-19 to Classify the Infection and Death Rates in a Specific Duration: The Case of Algerian Provinces. International Journal of Environmental Research and Public Health. 2022; 19(15):9586.
https://doi.org/10.3390/ijerph19159586
Chicago/Turabian Style
Aouissi, Hani Amir, Ahmed Hamimes, Mostefa Ababsa, Lavinia Bianco, Christian Napoli, Feriel Kheira Kebaili, Andrey E. Krauklis, Hafid Bouzekri, and Kuldeep Dhama.
2022. "Bayesian Modeling of COVID-19 to Classify the Infection and Death Rates in a Specific Duration: The Case of Algerian Provinces" International Journal of Environmental Research and Public Health 19, no. 15: 9586.
https://doi.org/10.3390/ijerph19159586
APA Style
Aouissi, H. A., Hamimes, A., Ababsa, M., Bianco, L., Napoli, C., Kebaili, F. K., Krauklis, A. E., Bouzekri, H., & Dhama, K.
(2022). Bayesian Modeling of COVID-19 to Classify the Infection and Death Rates in a Specific Duration: The Case of Algerian Provinces. International Journal of Environmental Research and Public Health, 19(15), 9586.
https://doi.org/10.3390/ijerph19159586