Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Apr 6, 2019
Date Accepted: Aug 9, 2019
Use of Informative Service for Participatory Influenza Surveillance in Children: Fever Coach App
ABSTRACT
Background:
Effective surveillance of influenza requires a broad network of healthcare providers actively reporting cases of influenza-like illnesses and positive laboratory results. Not only this traditional surveillance system is costly to establish and maintain, but also there is a time lag between a change in influenza activity and its detection. A new surveillance system that is both reliable and timely will help public health officials to effectively control an epidemic and mitigate the burden of the disease.
Objective:
This study aimed to evaluate the use of parent-reported data of febrile illnesses in children submitted through Fever Coach app in real-time surveillance of influenza activities.
Methods:
Fever Coach is a mobile app designed to help parents and caregivers to manage fever in young children, currently mainly serviced in South Korea. The app analyzes data entered by a caregiver and provides tailored information for care of the child based on the child’s age, sex, body weight, body temperature, and accompanying symptoms. Using the data submitted to the app during 2016-2017 influenza season, we built a regression model that monitors influenza incidence for 2017-2018 season and validated the model by comparing the predictions to the public influenza surveillance data from the Korea Centers for Disease Control and Prevention (KCDC).
Results:
During the 2-year study period, 70,203 diagnosis data including 7,702 influenza reports were submitted. There was a significant correlation between the influenza activity predicted by Fever Coach and that reported by KCDC (Spearman’s ⍴=0.878, p<.001). Using this model, the influenza epidemic in 2017-2018 season was detected 10 days before the epidemic alert announced by KCDC.
Conclusions:
Fever Coach app successfully collected data from over 7% of target population by providing care instruction for febrile children. This data was used to develop a model that accurately estimated influenza activity measured by the central government agency using reports from sentinel facilities in the national surveillance network.
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