新发传染病暴发期间诊断检测开发与评估的统一框架。
A unified framework for diagnostic test development and evaluation during outbreaks of emerging infections.
作者信息
Chaturvedi Madhav, Köster Denise, Bossuyt Patrick M, Gerke Oke, Jurke Annette, Kretzschmar Mirjam E, Lütgehetmann Marc, Mikolajczyk Rafael, Reitsma Johannes B, Schneiderhan-Marra Nicole, Siebert Uwe, Stekly Carina, Ehret Christoph, Rübsamen Nicole, Karch André, Zapf Antonia
机构信息
Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
出版信息
Commun Med (Lond). 2024 Dec 10;4(1):263. doi: 10.1038/s43856-024-00691-9.
Evaluating diagnostic test accuracy during epidemics is difficult due to an urgent need for test availability, changing disease prevalence and pathogen characteristics, and constantly evolving testing aims and applications. Based on lessons learned during the SARS-CoV-2 pandemic, we introduce a framework for rapid diagnostic test development, evaluation, and validation during outbreaks of emerging infections. The framework is based on the feedback loop between test accuracy evaluation, modelling studies for public health decision-making, and impact of public health interventions. We suggest that building on this feedback loop can help future diagnostic test evaluation platforms better address the requirements of both patient care and public health.
在疫情期间评估诊断测试的准确性很困难，这是因为迫切需要测试可用性、疾病患病率和病原体特征不断变化，以及测试目的和应用不断演变。基于在新冠疫情期间吸取的经验教训，我们引入了一个在新发感染疫情期间进行快速诊断测试开发、评估和验证的框架。该框架基于测试准确性评估、用于公共卫生决策的建模研究以及公共卫生干预措施的影响之间的反馈循环。我们建议，基于这个反馈循环可以帮助未来的诊断测试评估平台更好地满足患者护理和公共卫生的要求。
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