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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Bibliografski detalji
Glavni autori: Yun-Peng Chen, Le-Fan Liu, Yang Che, Jing Huang, Guo-Xing Li, Guo-Xin Sang, Zhi-Qiang Xuan, Tian-Feng He
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2022-04-01
Serija:International Journal of Environmental Research and Public Health
Teme:
pulmonary tuberculosis
air pollution
meteorological factor
time series
Online pristup:https://www.mdpi.com/1660-4601/19/9/5385
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