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 a...

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Veröffentlicht in:iScience 2024-10, Vol.27 (10), p.110912, Article 110912
Hauptverfasser: Hancock, David G., Kicic-Starcevich, Elizabeth, Sondag, Thijs, Rivers, Rael, McGee, Kate, Karpievitch, Yuliya V., D’Vaz, Nina, Agudelo-Romero, Patricia, Caparros-Martin, Jose A., Iosifidis, Thomas, Kicic, Anthony, Stick, Stephen M.
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Sprache:eng
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Zusammenfassung: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. [Display omitted] •Testing a smartphone app for longitudinal respiratory symptom and virus detection•High adherence with daily app use and positive user feedback was observed•Participants showed significant variability in their frequency of symptoms/viruses•Detected respiratory viruses matched community viral transmission data Health sciences; Medicine; Medical specialty; Immunology; Respiratory medicine; Public health; Health technology
ISSN:2589-0042
2589-0042
DOI:10.1016/j.isci.2024.110912