David G Hancock, Elizabeth Kicic-Starcevich, Thijs Sondag, Rael Rivers, Kate McGee, Yuliya V Karpievitch, Nina D’Vaz, Patricia Agudelo-Romero, Jose A Caparros-Martin, Thomas Iosifidis, Anthony Kicic, Stephen M Stick
{"title":"REAL TIME MONITORING OF RESPIRATORY VIRAL INFECTIONS IN COHORT STUDIES USING A SMARTPHONE APP","authors":"David G Hancock, Elizabeth Kicic-Starcevich, Thijs Sondag, Rael Rivers, Kate McGee, Yuliya V Karpievitch, Nina D’Vaz, Patricia Agudelo-Romero, Jose A Caparros-Martin, Thomas Iosifidis, Anthony Kicic, Stephen M Stick","doi":"10.1101/2024.04.03.24304240","DOIUrl":null,"url":null,"abstract":"<strong>Background and Objectives</strong> 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 smartphone app to robustly identify symptomatic respiratory illnesses, while reducing burden and facilitating real-time data collection and adherence monitoring.","PeriodicalId":501074,"journal":{"name":"medRxiv - Respiratory Medicine","volume":"54 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Respiratory Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.04.03.24304240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
Background and Objectives 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 smartphone app to robustly identify symptomatic respiratory illnesses, while reducing burden and facilitating real-time data collection and adherence monitoring.
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