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

作者信息

Winter Michael, Probst Thomas, Keil Thomas, Pryss Rüdiger

机构信息

Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany.

Institute of Medical Data Science, University Hospital of Würzburg, Würzburg, Germany.

出版信息

NPJ Digit Med. 2025 Apr 9;8(1):197. doi: 10.1038/s41746-025-01595-1.


DOI:10.1038/s41746-025-01595-1
PMID:40204848
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11982374/
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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438f/11982374/03903805c932/41746_2025_1595_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438f/11982374/38473ca67b64/41746_2025_1595_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438f/11982374/74b705219949/41746_2025_1595_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438f/11982374/03903805c932/41746_2025_1595_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438f/11982374/38473ca67b64/41746_2025_1595_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438f/11982374/74b705219949/41746_2025_1595_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/438f/11982374/03903805c932/41746_2025_1595_Fig3_HTML.jpg

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

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引用本文的文献

[1]
Platform matters -- Differences in COVID data collected from Android and iOS app users.

NPJ Digit Med. 2025-5-24

本文引用的文献

[1]
A Comparative Survey on Daily Health Habits Among iPhone and Android Smartphone Users.

Am J Lifestyle Med. 2024-7-27

[2]
Mobile Crowdsensing in Ecological Momentary Assessment mHealth Studies: A Systematic Review and Analysis.

Sensors (Basel). 2024-1-12

[3]
Exposure to urban and rural contexts shapes smartphone usage behavior.

PNAS Nexus. 2023-11-28

[4]
Self-Assessment of Having COVID-19 With the Corona Check mHealth App.

IEEE J Biomed Health Inform. 2023-6

[5]
Country- and app-level factors affecting the adoption and evaluation of COVID-19 mobile apps.

BMC Public Health. 2022-12-31

[6]
Associations of Country-Specific and Sociodemographic Factors With Self-Reported COVID-19-Related Symptoms: Multivariable Analysis of Data From the CoronaCheck Mobile Health Platform.

JMIR Public Health Surveill. 2023-2-3

[7]
Combining education and income into a socioeconomic position score for use in studies of health inequalities.

BMC Public Health. 2022-5-13

[8]
Symptom prevalence, duration, and risk of hospital admission in individuals infected with SARS-CoV-2 during periods of omicron and delta variant dominance: a prospective observational study from the ZOE COVID Study.

Lancet. 2022-4-23

[9]
Systematic Assessment of COVID-19 Pandemic in Bangladesh: Effectiveness of Preparedness in the First Wave.

Front Public Health. 2021

[10]
Predicting the gender of individuals with tinnitus based on daily life data of the TrackYourTinnitus mHealth platform.

Sci Rep. 2021-9-15

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