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

The autoregressive integrated moving average with exogenous regressors (ARIMAX) modeling studies of pulmonary tuberculosis (PTB) are still rare. This study aims to explore whether incorporating air pollution and meteorological factors can improve the performance of a time series model in predicting...

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Detalles Bibliográficos
Autores principales: Chen, Yun-Peng, Liu, Le-Fan, Che, Yang, Huang, Jing, Li, Guo-Xing, Sang, Guo-Xin, Xuan, Zhi-Qiang, He, Tian-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105987/
https://www.ncbi.nlm.nih.gov/pubmed/35564780
http://dx.doi.org/10.3390/ijerph19095385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105987/
https://www.ncbi.nlm.nih.gov/pubmed/35564780
http://dx.doi.org/10.3390/ijerph19095385

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