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

Cédric Mahé and Aimo Kannt

Health Policy, 2025, vol. 159, issue C

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.

Keywords: Pandemics preparedness; Surveillance; Respiratory infectious diseases; Data integration; Predictive modeling (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:hepoli:v:159:y:2025:i:c:s0168851025001423

DOI: 10.1016/j.healthpol.2025.105386

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