Predicting Diabetes and Estimating Its Economic Burden in China Using Autoregressive Integrated Moving Average Model

Objectives: To predict the number of people with diabetes and estimate the economic burden in China. Methods: Data from natural logarithmic transformation of the number of people with diabetes in China from 2000 to 2018 were selected to fit the autoregressive integrated moving average (ARIMA) model,...

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Detalles Bibliográficos
Autores principales: Zhu, Di, Zhou, Dongnan, Li, Nana, Han, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health Archive
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810486/
https://www.ncbi.nlm.nih.gov/pubmed/35126031
http://dx.doi.org/10.3389/ijph.2021.1604449

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810486/
https://www.ncbi.nlm.nih.gov/pubmed/35126031
http://dx.doi.org/10.3389/ijph.2021.1604449

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