Policy makers must adopt agile signal detection tools to strengthen epidemiological surveillance and improve pandemic preparedness

IF 3.6 3区医学 Q1 HEALTH CARE SCIENCES & SERVICES

Health Policy Pub Date : 2025-06-26 DOI:10.1016/j.healthpol.2025.105386

Cédric Mahé , Aimo Kannt , AIOLOS consortium

引用次数: 0

Abstract

The SARS-COV2 pandemic has highlighted the urgent need for agile and responsive disease surveillance systems. To strengthen epidemiological surveillance and improve pandemic preparedness, policymakers must adopt real-time signal detection tools that integrate multisource data, including non-traditional health data, advanced analytics, and artificial intelligence (AI). Such approaches enable more efficient monitoring and decision-making through collaborative networks. Expanding these agile tools across Europe under a supranational mandate would enhance public health outcomes, support healthcare system efficiency, and increase business resilience. Leveraging private sector data and ensuring modularity for gradual scale-up are essential to maintaining adaptability and responsiveness.

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决策者必须采用灵活的信号检测工具，以加强流行病学监测和改进大流行防范工作

SARS-COV2大流行突出表明，迫切需要建立灵活和反应迅速的疾病监测系统。为了加强流行病学监测和改善大流行防范，决策者必须采用实时信号检测工具，整合多源数据，包括非传统卫生数据、高级分析和人工智能。这种方法可以通过协作网络进行更有效的监测和决策。在超国家授权下，将这些敏捷工具扩展到整个欧洲，将提高公共卫生成果，支持医疗保健系统效率，并提高业务弹性。利用私营部门数据和确保逐步扩大规模的模块化对于保持适应性和响应能力至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Health Policy 医学-卫生保健

CiteScore

6.40

自引率

6.10%

发文量

157

审稿时长

3-8 weeks

期刊介绍： Health Policy is intended to be a vehicle for the exploration and discussion of health policy and health system issues and is aimed in particular at enhancing communication between health policy and system researchers, legislators, decision-makers and professionals concerned with developing, implementing, and analysing health policy, health systems and health care reforms, primarily in high-income countries outside the U.S.A.