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2021-07-10Zeitschriftenartikel
Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic
dc.contributor.authorBeierle, Felix
dc.contributor.authorSchobel, Johannes
dc.contributor.authorVogel, Carsten
dc.contributor.authorAllgaier, Johannes
dc.contributor.authorMulansky, Lena
dc.contributor.authorHaug, Fabian
dc.contributor.authorHaug, Julian
dc.contributor.authorSchlee, Winfried
dc.contributor.authorHolfelder, Marc
dc.contributor.authorStach, Michael
dc.contributor.authorSchickler, Marc
dc.contributor.authorBaumeister, Harald
dc.contributor.authorCohrdes, Caroline
dc.contributor.authorDeckert, Jürgen
dc.contributor.authorDeserno, Lorenz
dc.contributor.authorEdler, Johanna-Sophie
dc.contributor.authorEichner, Felizitas A.
dc.contributor.authorGreger, Helmut
dc.contributor.authorHein, Grit
dc.contributor.authorHeuschmann, Peter
dc.contributor.authorJohn, Dennis
dc.contributor.authorKestler, Hans A.
dc.contributor.authorKrefting, Dagmar
dc.contributor.authorLangguth, Berthold
dc.contributor.authorMeybohm, Patrick
dc.contributor.authorProbst, Thomas
dc.contributor.authorReichert, Manfred
dc.contributor.authorRomanos, Marcel
dc.contributor.authorStörk, Stefan
dc.contributor.authorTerhorst, Yannik
dc.contributor.authorWeiß, Martin
dc.contributor.authorPryss, Rüdiger
dc.date.accessioned2024-06-05T11:20:31Z
dc.date.available2024-06-05T11:20:31Z
dc.date.issued2021-07-10none
dc.identifier.other10.3390/ijerph18147395
dc.identifier.urihttp://edoc.rki.de/176904/11679
dc.description.abstractPhysical 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.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subjectmobile healtheng
dc.subjectecological monetary assessmenteng
dc.subjectdigital phenotypingeng
dc.subjectlongitudinal studieseng
dc.subjectmobile crowdsensingeng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleCorona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemicnone
dc.typearticle
dc.identifier.urnurn:nbn:de:0257-176904/11679-9
dc.type.versionpublishedVersionnone
local.edoc.container-titleEnviromental Research and Public Healthnone
local.edoc.container-issn1660-4601none
local.edoc.pages19none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlhttps://www.mdpi.com/journal/ijerphnone
local.edoc.container-publisher-nameMDPInone
local.edoc.container-volume18none
local.edoc.container-issue14none
local.edoc.container-reportyear2021none

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