Forecasting New Tuberculosis Cases in Malaysia: A Time-Series Study Using the Autoregressive Integrated Moving Average (ARIMA) Model

Background The application of the Box-Jenkins autoregressive integrated moving average (ARIMA) model has been widely employed in predicting cases of infectious diseases. It has shown a positive impact on public health early warning surveillance due to its capability in producing reliable forecasting...

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Detalles Bibliográficos
Autores principales: Ab Rashid, Mohd Ariff, Ahmad Zaki, Rafdzah, Wan Mahiyuddin, Wan Rozita, Yahya, Abqariyah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Preventive Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552684/
https://www.ncbi.nlm.nih.gov/pubmed/37809275
http://dx.doi.org/10.7759/cureus.44676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552684/
https://www.ncbi.nlm.nih.gov/pubmed/37809275
http://dx.doi.org/10.7759/cureus.44676

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