Chen, Y.-P.; Liu, L.-F.; Che, Y.; Huang, J.; Li, G.-X.; Sang, G.-X.; Xuan, Z.-Q.; He, T.-F.
Modeling and Predicting Pulmonary Tuberculosis Incidence and Its Association with Air Pollution and Meteorological Factors Using an ARIMAX Model: An Ecological Study in Ningbo of China. Int. J. Environ. Res. Public Health 2022, 19, 5385.
https://doi.org/10.3390/ijerph19095385
AMA Style
Chen Y-P, Liu L-F, Che Y, Huang J, Li G-X, Sang G-X, Xuan Z-Q, He T-F.
Modeling and Predicting Pulmonary Tuberculosis Incidence and Its Association with Air Pollution and Meteorological Factors Using an ARIMAX Model: An Ecological Study in Ningbo of China. International Journal of Environmental Research and Public Health. 2022; 19(9):5385.
https://doi.org/10.3390/ijerph19095385
Chicago/Turabian Style
Chen, Yun-Peng, Le-Fan Liu, Yang Che, Jing Huang, Guo-Xing Li, Guo-Xin Sang, Zhi-Qiang Xuan, and Tian-Feng He.
2022. "Modeling and Predicting Pulmonary Tuberculosis Incidence and Its Association with Air Pollution and Meteorological Factors Using an ARIMAX Model: An Ecological Study in Ningbo of China" International Journal of Environmental Research and Public Health 19, no. 9: 5385.
https://doi.org/10.3390/ijerph19095385
APA Style
Chen, Y.-P., Liu, L.-F., Che, Y., Huang, J., Li, G.-X., Sang, G.-X., Xuan, Z.-Q., & He, T.-F.
(2022). Modeling and Predicting Pulmonary Tuberculosis Incidence and Its Association with Air Pollution and Meteorological Factors Using an ARIMAX Model: An Ecological Study in Ningbo of China. International Journal of Environmental Research and Public Health, 19(9), 5385.
https://doi.org/10.3390/ijerph19095385