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Implementation of AESOP early-warning system for respiratory disease: a pilot and validation study using routinely collected data in Amazonas, Brazil
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DOI：10.1016/j.lana.2026.101516.png)
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Abstract
En 中文
Respiratory infections cause major morbidity and mortality globally, highlighting the need for robust early-warning systems (EWS). The Alert-Early System of Outbreaks with Pandemic Potential (ÆSOP) was co-developed with surveillance stakeholders to detect outbreaks using administrative primary health care (PHC) data. We aimed to report ÆSOP's feasibility and performance for detecting influenza-like illness (ILI) outbreaks in a real-world context and to document lessons learned from translating research into routine health services.
Keywords:
Early-warning system
Implementation science
Syndromic surveillance
Primary Health Care (PHC)
Administrative health data
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