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The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study
BACKGROUND: The COVID-19 pandemic has catalyzed a global public response and innovation in clinical study methods. OBJECTIVE: The COVID-19 Citizen Science study was designed to generate knowledge about participant-reported COVID-19 symptoms, behaviors, and disease occurrence. METHODS: COVID-19 Citiz...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407439/ https://www.ncbi.nlm.nih.gov/pubmed/34310336 http://dx.doi.org/10.2196/28169 |
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author | Beatty, Alexis L Peyser, Noah D Butcher, Xochitl E Carton, Thomas W Olgin, Jeffrey E Pletcher, Mark J Marcus, Gregory M |
author_facet | Beatty, Alexis L Peyser, Noah D Butcher, Xochitl E Carton, Thomas W Olgin, Jeffrey E Pletcher, Mark J Marcus, Gregory M |
author_sort | Beatty, Alexis L |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic has catalyzed a global public response and innovation in clinical study methods. OBJECTIVE: The COVID-19 Citizen Science study was designed to generate knowledge about participant-reported COVID-19 symptoms, behaviors, and disease occurrence. METHODS: COVID-19 Citizen Science is a longitudinal cohort study launched on March 26, 2020, on the Eureka Research Platform. This study illustrates important advances in digital clinical studies, including entirely digital study participation, targeted recruitment strategies, electronic consent, recurrent and time-updated assessments, integration with smartphone-based measurements, analytics for recruitment and engagement, connection with partner studies, novel engagement strategies such as participant-proposed questions, and feedback in the form of real-time results to participants. RESULTS: As of February 2021, the study has enrolled over 50,000 participants. Study enrollment and participation are ongoing. Over the lifetime of the study, an average of 59% of participants have completed at least one survey in the past 4 weeks. CONCLUSIONS: Insights about COVID-19 symptoms, behaviors, and disease occurrence can be drawn through digital clinical studies. Continued innovation in digital clinical study methods represents the future of clinical research. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/28169 |
format | Online Article Text |
id | pubmed-8407439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-84074392021-09-14 The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study Beatty, Alexis L Peyser, Noah D Butcher, Xochitl E Carton, Thomas W Olgin, Jeffrey E Pletcher, Mark J Marcus, Gregory M JMIR Res Protoc Protocol BACKGROUND: The COVID-19 pandemic has catalyzed a global public response and innovation in clinical study methods. OBJECTIVE: The COVID-19 Citizen Science study was designed to generate knowledge about participant-reported COVID-19 symptoms, behaviors, and disease occurrence. METHODS: COVID-19 Citizen Science is a longitudinal cohort study launched on March 26, 2020, on the Eureka Research Platform. This study illustrates important advances in digital clinical studies, including entirely digital study participation, targeted recruitment strategies, electronic consent, recurrent and time-updated assessments, integration with smartphone-based measurements, analytics for recruitment and engagement, connection with partner studies, novel engagement strategies such as participant-proposed questions, and feedback in the form of real-time results to participants. RESULTS: As of February 2021, the study has enrolled over 50,000 participants. Study enrollment and participation are ongoing. Over the lifetime of the study, an average of 59% of participants have completed at least one survey in the past 4 weeks. CONCLUSIONS: Insights about COVID-19 symptoms, behaviors, and disease occurrence can be drawn through digital clinical studies. Continued innovation in digital clinical study methods represents the future of clinical research. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/28169 JMIR Publications 2021-08-30 /pmc/articles/PMC8407439/ /pubmed/34310336 http://dx.doi.org/10.2196/28169 Text en ©Alexis L Beatty, Noah D Peyser, Xochitl E Butcher, Thomas W Carton, Jeffrey E Olgin, Mark J Pletcher, Gregory M Marcus. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 30.08.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included. |
spellingShingle | Protocol Beatty, Alexis L Peyser, Noah D Butcher, Xochitl E Carton, Thomas W Olgin, Jeffrey E Pletcher, Mark J Marcus, Gregory M The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study |
title | The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study |
title_full | The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study |
title_fullStr | The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study |
title_full_unstemmed | The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study |
title_short | The COVID-19 Citizen Science Study: Protocol for a Longitudinal Digital Health Cohort Study |
title_sort | covid-19 citizen science study: protocol for a longitudinal digital health cohort study |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407439/ https://www.ncbi.nlm.nih.gov/pubmed/34310336 http://dx.doi.org/10.2196/28169 |
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