A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users

This study explored differences in COVID-19 infections and symptoms between Android and iOS users using data from the CoronaCheck app. This cross-sectional analysis included 23,063 global users (20,753 Android and 2310 iOS) from April 2020 to February 2023. Participants reported COVID-19 symptoms and contact risks, with data analyzed to adjust for age, sex, education, and country. Android users were generally younger, more often male, had a lower educational level, and reported more symptoms on average (2.1 vs. 1.6) than iOS users. Android users also had higher suspected COVID-19 infection rates (24% vs. 11%), with an adjusted odds ratio of 2.21 (95% CI: 1.93-2.54). These findings suggest platform-based differences in COVID-19 infection rates and symptom reporting, highlighting potential biases in mobile health research. Adjusting for device operating systems may be crucial in improving the reliability of population-based health data collected through mobile platforms.

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Publication Details

Journal
npj Digital Medicine
Published
2025-04-09
DOI
https://doi.org/10.1038/s41746-025-01595-1
Citations
2
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
8.40
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article

A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users

Michael Winter, Rüdiger Pryss, Thomas Probst, Thomas Keil
2 citations
npj Digital Medicine
Impact of Technology on Adolescents
8.40
article

A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users

Michael Winter, Rüdiger Pryss, Thomas Probst, Thomas Keil
article en
2 citations

Abstract

This study explored differences in COVID-19 infections and symptoms between Android and iOS users using data from the CoronaCheck app. This cross-sectional analysis included 23,063 global users (20,753 Android and 2310 iOS) from April 2020 to February 2023. Participants reported COVID-19 symptoms and contact risks, with data analyzed to adjust for age, sex, education, and country. Android users were generally younger, more often male, had a lower educational level, and reported more symptoms on average (2.1 vs. 1.6) than iOS users. Android users also had higher suspected COVID-19 infection rates (24% vs. 11%), with an adjusted odds ratio of 2.21 (95% CI: 1.93-2.54). These findings suggest platform-based differences in COVID-19 infection rates and symptom reporting, highlighting potential biases in mobile health research. Adjusting for device operating systems may be crucial in improving the reliability of population-based health data collected through mobile platforms.

npj Digital MedicineVol. 8(1)
University of Salzburg (AT), University of Würzburg (DE), Universitätsklinikum Würzburg (DE), Charité - Universitätsmedizin Berlin (DE)
Quality Education
Openalex Percentile: Top 4%
Impact of Technology on Adolescents
8.40
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