Applying SARIMA, ETS, and hybrid models for prediction of tuberculosis incidence rate in Taiwan

BACKGROUND: Tuberculosis (TB) remained one of the world’s most deadly chronic communicable diseases. Future TB incidence prediction is a benefit for intervention options and resource-allocation planning. We aimed to develop rapid univariate prediction models for epidemics forecasting employment. MET...

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Detalles Bibliográficos
Autor principal: Kuan, Mei-Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508881/
https://www.ncbi.nlm.nih.gov/pubmed/36164599
http://dx.doi.org/10.7717/peerj.13117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508881/
https://www.ncbi.nlm.nih.gov/pubmed/36164599
http://dx.doi.org/10.7717/peerj.13117

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