Application of the ARIMA Model in Forecasting the Incidence of Tuberculosis in Anhui During COVID-19 Pandemic from 2021 to 2022

OBJECTIVE: Forecasting the seasonality and trend of pulmonary tuberculosis is important for the rational allocation of health resources. In this study, we predict the incidence of pulmonary tuberculosis by establishing the autoregressive integrated moving average (ARIMA) model and providing support...

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Detalles Bibliográficos
Autores principales: Chen, Shuangshuang, Wang, Xinqiang, Zhao, Jiawen, Zhang, Yongzhong, Kan, Xiaohong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268244/
https://www.ncbi.nlm.nih.gov/pubmed/35813085
http://dx.doi.org/10.2147/IDR.S367528

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268244/
https://www.ncbi.nlm.nih.gov/pubmed/35813085
http://dx.doi.org/10.2147/IDR.S367528

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