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Self-Assessment of Having COVID-19 With the Corona Check mHealth App
At the beginning of the COVID-19 pandemic, with a lack of knowledge about the novel virus and a lack of widely available tests, getting first feedback about being infected was not easy. To support all citizens in this respect, we developed the mobile health app Corona Check. Based on a self-reported...
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Published in: | IEEE journal of biomedical and health informatics 2023-06, Vol.27 (6), p.2794-2805 |
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container_title | IEEE journal of biomedical and health informatics |
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creator | Beierle, Felix Allgaier, Johannes Stupp, Carolin Keil, Thomas Schlee, Winfried Schobel, Johannes Vogel, Carsten Haug, Fabian Haug, Julian Holfelder, Marc Langguth, Berthold Langguth, Jana Riens, Burgi King, Ryan Mulansky, Lena Schickler, Marc Stach, Michael Heuschmann, Peter Wildner, Manfred Greger, Helmut Reichert, Manfred Kestler, Hans A. Pryss, Rudiger |
description | At the beginning of the COVID-19 pandemic, with a lack of knowledge about the novel virus and a lack of widely available tests, getting first feedback about being infected was not easy. To support all citizens in this respect, we developed the mobile health app Corona Check. Based on a self-reported questionnaire about symptoms and contact history, users get first feedback about a possible corona infection and advice on what to do. We developed Corona Check based on our existing software framework and released the app on Google Play and the Apple App Store on April 4, 2020. Until October 30, 2021, we collected 51,323 assessments from 35,118 users with explicit agreement of the users that their anonymized data may be used for research purposes. For 70.6% of the assessments, the users additionally shared their coarse geolocation with us. To the best of our knowledge, we are the first to report about such a large-scale study in this context of COVID-19 mHealth systems. Although users from some countries reported more symptoms on average than users from other countries, we did not find any statistically significant differences between symptom distributions (regarding country, age, and sex). Overall, the Corona Check app provided easily accessible information on corona symptoms and showed the potential to help overburdened corona telephone hotlines, especially during the beginning of the pandemic. Corona Check thus was able to support fighting the spread of the novel coronavirus. mHealth apps further prove to be valuable tools for longitudinal health data collection. |
doi_str_mv | 10.1109/JBHI.2023.3264999 |
format | article |
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To support all citizens in this respect, we developed the mobile health app Corona Check. Based on a self-reported questionnaire about symptoms and contact history, users get first feedback about a possible corona infection and advice on what to do. We developed Corona Check based on our existing software framework and released the app on Google Play and the Apple App Store on April 4, 2020. Until October 30, 2021, we collected 51,323 assessments from 35,118 users with explicit agreement of the users that their anonymized data may be used for research purposes. For 70.6% of the assessments, the users additionally shared their coarse geolocation with us. To the best of our knowledge, we are the first to report about such a large-scale study in this context of COVID-19 mHealth systems. Although users from some countries reported more symptoms on average than users from other countries, we did not find any statistically significant differences between symptom distributions (regarding country, age, and sex). Overall, the Corona Check app provided easily accessible information on corona symptoms and showed the potential to help overburdened corona telephone hotlines, especially during the beginning of the pandemic. Corona Check thus was able to support fighting the spread of the novel coronavirus. mHealth apps further prove to be valuable tools for longitudinal health data collection.</description><identifier>ISSN: 2168-2194</identifier><identifier>EISSN: 2168-2208</identifier><identifier>DOI: 10.1109/JBHI.2023.3264999</identifier><identifier>PMID: 37023154</identifier><identifier>CODEN: IJBHA9</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Applications programs ; Corona ; coronavirus ; Coronaviruses ; COVID-19 ; Data collection ; Epidemiology ; expert system ; Expert systems ; Feedback ; Humans ; mobile app ; Mobile Applications ; Pandemics ; Self assessment ; Self evaluation ; Statistical analysis ; Surveys and Questionnaires ; Telemedicine ; Telephone sets ; Temperature measurement ; Viral diseases ; Viruses</subject><ispartof>IEEE journal of biomedical and health informatics, 2023-06, Vol.27 (6), p.2794-2805</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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To support all citizens in this respect, we developed the mobile health app Corona Check. Based on a self-reported questionnaire about symptoms and contact history, users get first feedback about a possible corona infection and advice on what to do. We developed Corona Check based on our existing software framework and released the app on Google Play and the Apple App Store on April 4, 2020. Until October 30, 2021, we collected 51,323 assessments from 35,118 users with explicit agreement of the users that their anonymized data may be used for research purposes. For 70.6% of the assessments, the users additionally shared their coarse geolocation with us. To the best of our knowledge, we are the first to report about such a large-scale study in this context of COVID-19 mHealth systems. 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feedback about being infected was not easy. To support all citizens in this respect, we developed the mobile health app Corona Check. Based on a self-reported questionnaire about symptoms and contact history, users get first feedback about a possible corona infection and advice on what to do. We developed Corona Check based on our existing software framework and released the app on Google Play and the Apple App Store on April 4, 2020. Until October 30, 2021, we collected 51,323 assessments from 35,118 users with explicit agreement of the users that their anonymized data may be used for research purposes. For 70.6% of the assessments, the users additionally shared their coarse geolocation with us. To the best of our knowledge, we are the first to report about such a large-scale study in this context of COVID-19 mHealth systems. Although users from some countries reported more symptoms on average than users from other countries, we did not find any statistically significant differences between symptom distributions (regarding country, age, and sex). Overall, the Corona Check app provided easily accessible information on corona symptoms and showed the potential to help overburdened corona telephone hotlines, especially during the beginning of the pandemic. 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subjects | Applications programs Corona coronavirus Coronaviruses COVID-19 Data collection Epidemiology expert system Expert systems Feedback Humans mobile app Mobile Applications Pandemics Self assessment Self evaluation Statistical analysis Surveys and Questionnaires Telemedicine Telephone sets Temperature measurement Viral diseases Viruses |
title | Self-Assessment of Having COVID-19 With the Corona Check mHealth App |
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