一种用于对疾病趋势进行分类的框架，应用于美国与流感相关的住院情况。
A Framework for Classifying Disease Trends Applied to Influenza-Associated Hospital Admissions in the United States.
作者信息
Mathis Sarabeth M, Biggerstaff Matthew, Budd Alicia, O'Halloran Alissa, Bozio Catherine, Borchering Rebecca K
机构信息
Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
出版信息
Open Forum Infect Dis. 2025 Aug 2;12(8):ofaf460. doi: 10.1093/ofid/ofaf460. eCollection 2025 Aug.
Using Influenza Hospitalization Surveillance Network (FluSurv-NET) data, we established thresholds for weekly hospitalization rate differences to categorize changes. We applied thresholds to National Healthcare Safety Network influenza admissions from the 2022/2023-2023/2024 seasons. This metric identified more large increases and decreases in 2022/2023 and facilitated rapid trend assessment.
利用流感住院监测网络（FluSurv-NET）的数据，我们确定了每周住院率差异的阈值，以便对变化进行分类。我们将这些阈值应用于2022/2023至2023/2024季节国家医疗安全网络的流感住院数据。这一指标识别出了2022/2023年更多的大幅上升和下降情况，并有助于快速进行趋势评估。
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