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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Soriano Ortiz, Joan B. | es-ES |
dc.contributor.author | Fernández Muñoz, Ángel Esteve | es-ES |
dc.contributor.author | de Astorza Vergara, Álvaro | es-ES |
dc.contributor.author | Pérez de Llano, Luis A. | es-ES |
dc.contributor.author | Fernández Villar, José Alberto | es-ES |
dc.contributor.author | Carnicer-Pont, Dolors | es-ES |
dc.contributor.author | Alcázar Navarrete, Bernardino | es-ES |
dc.contributor.author | García de Diego, Arturo | es-ES |
dc.contributor.author | Morales Guerrero, Aurelio | es-ES |
dc.contributor.author | Lobo García, María | es-ES |
dc.contributor.author | Maroto Pérez, Marcos | es-ES |
dc.contributor.author | Ferreras Puente, Eloy | es-ES |
dc.contributor.author | Soriano Ortiz, Cecilia | es-ES |
dc.contributor.author | del Río Bermúdez, Carlos | es-ES |
dc.contributor.author | Vega Piris, Lorena | es-ES |
dc.contributor.author | Basagaña, Xavier | es-ES |
dc.contributor.author | Muncunill Farreny, Josep | es-ES |
dc.contributor.author | García-Cosio Piqueras, Borja | es-ES |
dc.contributor.author | Lumbreras Sancho, Sara | es-ES |
dc.contributor.author | Catalina Esteban, Carlos | es-ES |
dc.contributor.author | Alzaga Molaguero, Jose María | es-ES |
dc.contributor.author | Gómez Quilón, David | es-ES |
dc.contributor.author | Valdivia, Carlos Alberto | es-ES |
dc.contributor.author | de Lara, Celia | es-ES |
dc.contributor.author | Ancochea Bermúdez, Julio | es-ES |
dc.date.accessioned | 2021-06-07T11:54:23Z | - |
dc.date.available | 2021-06-07T11:54:23Z | - |
dc.date.issued | 2020-09-21 | es_ES |
dc.identifier.issn | 2369-2960 | es_ES |
dc.identifier.uri | https:doi.org10.219621653 | es_ES |
dc.description | Artículos en revistas | es_ES |
dc.description.abstract | es-ES | |
dc.description.abstract | Background: Hospital workers are the most frequently and severely affected by the COVID-19 pandemic, and one of the population groups that can have the biggest impact on transmission. In this context, innovative tools are required to measure the symptoms compatible with COVID-19, the spread of infection, and testing capabilities within hospitals in real-time. Objective: We aimed to develop and test an effective and user-friendly tool to identify and track the symptoms compatible with COVID-19 in hospital workers. Methods: We present the development and pilot testing of HEpiTracker, a newly designed app to track the spread of COVID-19 among hospitals workers. Hospital staff in nine hospital centers across five Spanish regions (Andalucia, Balearics, Catalonia, Galicia, and Madrid) were invited to download the app on their phones via https:www.hepitracker.com and to register their daily body temperature, COVID-19-compatible symptoms and general health score, as well as any PCR and serological test results. Results: A total of 477 hospital staff participated in the study between April 8th and June 2nd, 2020. Of note, both health- (n=329) and non-health- (n=148) related professionals participated in the study, resulting in over two thirds of participants (68.8) being health workers, with 43.4 physicians and 25.4 nurses, while the proportion of non-health workers by centre ranged from 40 to 85. Most participants were female (67.5; n = 323), with a mean (±SD) age of 45.4 (±10.6) years. Regarding smoking habits, 13.0 and 34.2 of participants were current or former smokers, respectively. The daily report of symptoms was highly variable across participating hospitals; whereas we observed a decline in adherence after an initial participation peak in some hospitals, other sites were characterized by low participation rates throughout the study period. Conclusions: HEpiTracker is an already available tool to monitor COVID-19 and other epidemics in hospital workers. This tool has already been tested in real conditions. HEpiTracker is available in Spanish, Portuguese, and English and holds the potential to become a customized asset to be used in future COVID-19 pandemic waves and other environments. | en-GB |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | en-GB | es_ES |
dc.source | Revista: JMIR Public Health and Surveillance, Periodo: 1, Volumen: online, Número: 3, Página inicial: e21653-1, Página final: e21653-13 | es_ES |
dc.subject.other | Instituto de Investigación Tecnológica (IIT) | es_ES |
dc.title | Hospital Epidemics Tracker (HEpiTracker): description and pilot study of a mobile app to track COVID-19 in hospital workers | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.rights.holder | es_ES | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.keywords | es-ES | |
dc.keywords | App; COVID-19; E-medicine; Monitoring; Symptoms; Surveillance | en-GB |
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Fichero | Descripción | Tamaño | Formato | |
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IIT-20-059A.pdf | 610,79 kB | Adobe PDF | Visualizar/Abrir |
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