Real time monitoring of respiratory viral infections in cohort studies using a smartphone app

Cohort studies investigating respiratory disease pathogenesis aim to pair mechanistic investigations with longitudinal virus detection but are limited by the burden of methods tracking illness over time. In this study, we explored the utility of a purpose-built AERIAL TempTracker smartphone app to assess real-time data collection and adherence monitoring and overall burden to participants, while identifying symptomatic respiratory illnesses in two birth cohort studies. We observed strong adherence with daily app usage over the six-month study period, with positive feedback from participant families. A total of 648 symptomatic respiratory illness events were identified with significant variability between individuals in the frequency, duration, and virus detected. Collectively, our data show that a smartphone app provides a reliable method to capture the longitudinal virus data in cohort studies which facilitates the understanding of early life infections in chronic respiratory disease development.

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Publication Details

Journal
iScience
Published
2024-09-17
DOI
https://doi.org/10.1016/j.isci.2024.110912
Citations
1
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.85

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article

Real time monitoring of respiratory viral infections in cohort studies using a smartphone app

Elizabeth Kicic‐Starcevich, Yuliya V. Karpievitch, Nina D’Vaz, Thijs Sondag et al.
1 citations
iScience
Mobile Health and mHealth Applications
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article

Real time monitoring of respiratory viral infections in cohort studies using a smartphone app

Elizabeth Kicic‐Starcevich, Yuliya V. Karpievitch, Nina D’Vaz, Thijs Sondag, Anthony Kicic, Stephen M. Stick, David G. Hancock, Patricia Agudelo‐Romero, José A. Caparrós‐Martín, Thomas Iosifidis, Kate McGee, Rael Rivers
article en
1 citations

Abstract

Cohort studies investigating respiratory disease pathogenesis aim to pair mechanistic investigations with longitudinal virus detection but are limited by the burden of methods tracking illness over time. In this study, we explored the utility of a purpose-built AERIAL TempTracker smartphone app to assess real-time data collection and adherence monitoring and overall burden to participants, while identifying symptomatic respiratory illnesses in two birth cohort studies. We observed strong adherence with daily app usage over the six-month study period, with positive feedback from participant families. A total of 648 symptomatic respiratory illness events were identified with significant variability between individuals in the frequency, duration, and virus detected. Collectively, our data show that a smartphone app provides a reliable method to capture the longitudinal virus data in cohort studies which facilitates the understanding of early life infections in chronic respiratory disease development.

iScienceVol. 27(10)
Royal Children's Hospital (AU), The Kids Research Institute Australia (AU), The University of Western Australia (AU), Curtin University (AU), Princess Margaret Hospital for Children (AU), Jena Bioscience (Germany) (DE), Perth Children's Hospital
Australian Government, Paul Ramsay Foundation, Medical Research Council, National Health and Medical Research Council
Good health and well-being
Openalex Percentile: Top 22%
Mobile Health and mHealth Applications
0.85
DOIOpen Access PDFOpenAlex
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