Cargando…
Impact of COVID-19 on health services utilization in mainland China and its different regions based on S-ARIMA predictions
Global health services are disrupted by the COVID-19 pandemic. We evaluated extent and duration of impacts of the pandemic on health services utilization in different economically developed regions of mainland China. Based on monthly health services utilization data in China, we used Seasonal Autore...
Autores principales: | Zhang, Xiangliang, Yin, Rong, Zheng, Meng, Kong, Di, Chen, Wen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021243/ https://www.ncbi.nlm.nih.gov/pubmed/36962843 http://dx.doi.org/10.1371/journal.pgph.0001044 |
Ejemplares similares
-
ARIMA and ARIMA-ERNN models for prediction of pertussis incidence in mainland China from 2004 to 2021
por: Wang, Meng, et al.
Publicado: (2022) -
Comparison of ARIMA model and XGBoost model for prediction of human brucellosis in mainland China: a time-series study
por: Alim, Mirxat, et al.
Publicado: (2020) -
ARIMA model for predicting chronic kidney disease and estimating its economic burden in China
por: Jian, Yining, et al.
Publicado: (2022) -
Modeling and forecasting CO(2) emissions in China and its regions using a novel ARIMA-LSTM model()
por: Wen, Tingxin, et al.
Publicado: (2023) -
Comparison of ARIMA and LSTM for prediction of hemorrhagic fever at different time scales in China
por: Zhang, Rui, et al.
Publicado: (2022)