ARIMA model for predicting chronic kidney disease and estimating its economic burden in China

• Main Authors: Yining Jian (Author), Di Zhu (Author), Dongnan Zhou (Author), Nana Li (Author), Han Du (Author), Xue Dong (Author), Xuemeng Fu (Author), Dong Tao (Author), Bing Han (Author)
• Format: Book
• Published: BMC, 2022-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Chronic kidney disease (CKD) is an important global public health issue. In China, CKD affects a large number of patients and causes a huge economic burden. This study provided a new way to predict the number of patients with CKD and estimate its economic burden in China based on...