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科罗纳健康——一项基于研究和传感器的移动应用程序平台,探索2019年冠状病毒病大流行的各个方面。

Corona Health-A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic.

作者信息

Beierle Felix, Schobel Johannes, Vogel Carsten, Allgaier Johannes, Mulansky Lena, Haug Fabian, Haug Julian, Schlee Winfried, Holfelder Marc, Stach Michael, Schickler Marc, Baumeister Harald, Cohrdes Caroline, Deckert Jürgen, Deserno Lorenz, Edler Johanna-Sophie, Eichner Felizitas A, Greger Helmut, Hein Grit, Heuschmann Peter, John Dennis, Kestler Hans A, Krefting Dagmar, Langguth Berthold, Meybohm Patrick, Probst Thomas, Reichert Manfred, Romanos Marcel, Störk Stefan, Terhorst Yannik, Weiß Martin, Pryss Rüdiger

机构信息

Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97080 Würzburg, Germany.

DigiHealth Institute, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany.

出版信息

Int J Environ Res Public Health. 2021 Jul 10;18(14):7395. doi: 10.3390/ijerph18147395.

DOI:10.3390/ijerph18147395
PMID:34299846
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8303497/
Abstract

Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, necessitates strict regulatory and legal requirements, and requires short development cycles to appropriately react to abrupt changes in the pandemic. Based on an existing app framework, we developed Corona Health, an app that serves as a platform for deploying questionnaire-based studies in combination with recordings of mobile sensors. In this paper, we present the technical details of Corona Health and provide first insights into the collected data. Through collaborative efforts from experts from public health, medicine, psychology, and computer science, we released Corona Health publicly on Google Play and the Apple App Store (in July 2020) in eight languages and attracted 7290 installations so far. Currently, five studies related to physical and mental well-being are deployed and 17,241 questionnaires have been filled out. Corona Health proves to be a viable tool for conducting research related to the COVID-19 pandemic and can serve as a blueprint for future EMA-based studies. The data we collected will substantially improve our knowledge on mental and physical health states, traits and trajectories as well as its risk and protective factors over the course of the COVID-19 pandemic and its diverse prevention measures.

摘要

在新冠疫情期间,身心健康状况通常通过调查来评估,这可能会使纵向研究变得困难,并可能导致数据出现回忆偏差。由生态瞬时评估(EMA)驱动的智能手机应用程序有助于缓解此类问题,实现现场记录。开发这样一个应用程序并非易事,需要严格的监管和法律要求,并且需要短开发周期以便对疫情中的突然变化做出适当反应。基于现有的应用程序框架,我们开发了“新冠健康”应用程序,它作为一个平台,用于结合移动传感器记录开展基于问卷的研究。在本文中,我们介绍了“新冠健康”的技术细节,并提供了对所收集数据的初步见解。通过公共卫生、医学、心理学和计算机科学领域专家的共同努力,我们于2020年7月在谷歌应用商店和苹果应用商店以八种语言公开发布了“新冠健康”,到目前为止已吸引了7290次安装。目前,五项与身心健康相关的研究正在开展,已填写了17241份问卷。“新冠健康”被证明是开展与新冠疫情相关研究的一个可行工具,可为未来基于EMA的研究提供蓝本。我们收集的数据将极大地增进我们对新冠疫情期间及各种预防措施下心理和身体健康状态、特征及轨迹以及其风险和保护因素的了解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/b4a40358dbcd/ijerph-18-07395-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/bf08aa99e71e/ijerph-18-07395-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/f172a3ef2528/ijerph-18-07395-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/641ccce0e44f/ijerph-18-07395-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/bdadf1d5fe22/ijerph-18-07395-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/9a1d26a92622/ijerph-18-07395-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/44162585e924/ijerph-18-07395-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/83cd656ebbdb/ijerph-18-07395-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/f8263afb6554/ijerph-18-07395-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/b4a40358dbcd/ijerph-18-07395-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/bf08aa99e71e/ijerph-18-07395-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/f172a3ef2528/ijerph-18-07395-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/641ccce0e44f/ijerph-18-07395-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/bdadf1d5fe22/ijerph-18-07395-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/9a1d26a92622/ijerph-18-07395-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/44162585e924/ijerph-18-07395-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/83cd656ebbdb/ijerph-18-07395-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/f8263afb6554/ijerph-18-07395-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5984/8303497/b4a40358dbcd/ijerph-18-07395-g009.jpg

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