F, S., ASA, A., MO, A., & SA, A. (2022). Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review. International journal of environmental research and public health, 19(9), . https://doi.org/10.3390/ijerph19095099
Chicago Style (17th ed.) CitationF, Saleem, Al-Ghamdi ASA, Alassafi MO, and AlGhamdi SA. "Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review." International Journal of Environmental Research and Public Health 19, no. 9 (2022). https://doi.org/10.3390/ijerph19095099.
MLA (9th ed.) CitationF, Saleem, et al. "Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review." International Journal of Environmental Research and Public Health, vol. 19, no. 9, 2022, https://doi.org/10.3390/ijerph19095099.