Development of indicator systems for early warning of acute respiratory infection: a Delphi stduy

Objective To establish comprehensive indicator systems for early warning of acute respiratory infection (ARI) based on multi-source data. MethodsThe Delphi method was adopted for expert consultation. Twenty experts were invited to score the necessity, availability, and sensitivity of different early warning indicators, and the weights were determined based on the scoring results. ResultsThe two rounds of expert consultation showed the expert positive coefficients being both 100%, the coefficients of expert authority being both 0.79, and the coefficients of concordance being 0.280 and 0.487 (P ConclusionsThe comprehensive indicator systems for early warning of ARI based on multi-source data and Delphi method established in this study have certain scientificity and practicability, which can provide support for improving the multi-point triggered early warning of infectious diseases.