Forecasting antimicrobial resistance in China using a hybrid ARIMA-GM(1,1) model

Forecasting antimicrobial resistance in China using a hybrid ARIMA-GM(1,1) model

Abstract Objective To evaluate the application value of the ARIMA-GM(1,1) combined model in predicting the resistance rates of key drug-resistant bacteria in China, providing a scientific basis for optimizing antimicrobial management strategies. Methods Based on data from the China Antibacterial Res...

Full description

Saved in:
Bibliographic Details
Main Authors: Feng Liu, Caixia Dang, Hengliang Lv, Ziqian Zhao, Sijin Zhu, Yang Wang, Hongbin Song, Yuanyong Xu, Hui Chen
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Infectious Diseases
Subjects:
ARIMA-GM(1,1) model
Drug-resistant bacteria
Resistance rate
Prediction
Trend analysis
Online Access:https://doi.org/10.1186/s12879-025-11483-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12879-025-11483-4

Similar Items