Forecasting multidrug-resistant organisms infection trends in a Chinese tertiary hospital (2014–2024): a comparative study of SARIMA, ETS, Prophet, and NNETAR models

Based on its overall robustness and diagnostic consistency, SARIMA is recommended for short- to medium-term forecasting of MDROs infection trends. The other models, while less reliable on their own, may still be valuable for validating trends and conducting sensitivity analyses to support hospital infection control planning.

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Publication Details

Journal
Frontiers in Public Health
Published
2026-01-29
DOI
https://doi.org/10.3389/fpubh.2026.1687658
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
0.00
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article

Forecasting multidrug-resistant organisms infection trends in a Chinese tertiary hospital (2014–2024): a comparative study of SARIMA, ETS, Prophet, and NNETAR models

LuoJing Zhou
Frontiers in Public Health
Antibiotic Use and Resistance
article

Forecasting multidrug-resistant organisms infection trends in a Chinese tertiary hospital (2014–2024): a comparative study of SARIMA, ETS, Prophet, and NNETAR models

LuoJing Zhou
article en

Abstract

Based on its overall robustness and diagnostic consistency, SARIMA is recommended for short- to medium-term forecasting of MDROs infection trends. The other models, while less reliable on their own, may still be valuable for validating trends and conducting sensitivity analyses to support hospital infection control planning.

Frontiers in Public HealthVol. 14
Northern Jiangsu People's Hospital (CN), Yangzhou University (CN)
Openalex Percentile: Top 67%
Antibiotic Use and Resistance
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