Telephone calls to emergency medical service as a tool to predict influenza-like illness: A 10-year study.

OBJECTIVES

Influenza-like illness (ILI) refers to the set of symptoms associated with seasonal influenza infection. In Italy, the syndromic surveillance system RespiVirNet uses both epidemiological and virological data to monitor ILI incidence with a weekly cadence. To estimate ILI incidence in real time, several countries adopted surveillance systems which include data from the emergency-urgency (E-U) system. The aim of this study was to evaluate the relationship between the number of calls for respiratory symptoms to the E-U system and the regional incidence of ILI cases identified by the Italian syndromic surveillance system.

STUDY DESIGN

Retrospective observational cohort study METHODS: We analyzed data in the Lombardy region for the flu season from 2014 to 2024, excluding the COVID-19 pandemic period (from 2020 to 2022). We performed a linear regression analysis considering ILI incidence as the dependent variable and the percentage of respiratory calls to the E-U system as the independent variable.

RESULTS

Statistical analysis showed a positive correlation (r = 0.70), with a statistically significant coefficient of 1.34 (p-value <0.001) and R of 0.50.

CONCLUSIONS

The observed correlation highlights the potential use of prehospital E-U system data in the surveillance systems of infectious diseases by using real-time data, encouraging future research to explore the limits and possibilities of an integrated surveillance system.