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dc.contributor.authorSoriano Ortiz, Joan B.es-ES
dc.contributor.authorFernández Muñoz, Ángel Estevees-ES
dc.contributor.authorde Astorza Vergara, Álvaroes-ES
dc.contributor.authorPérez de Llano, Luis A.es-ES
dc.contributor.authorFernández Villar, José Albertoes-ES
dc.contributor.authorCarnicer-Pont, Dolorses-ES
dc.contributor.authorAlcázar Navarrete, Bernardinoes-ES
dc.contributor.authorGarcía de Diego, Arturoes-ES
dc.contributor.authorMorales Guerrero, Aurelioes-ES
dc.contributor.authorLobo García, Maríaes-ES
dc.contributor.authorMaroto Pérez, Marcoses-ES
dc.contributor.authorFerreras Puente, Eloyes-ES
dc.contributor.authorSoriano Ortiz, Ceciliaes-ES
dc.contributor.authordel Río Bermúdez, Carloses-ES
dc.contributor.authorVega Piris, Lorenaes-ES
dc.contributor.authorBasagaña, Xavieres-ES
dc.contributor.authorMuncunill Farreny, Josepes-ES
dc.contributor.authorGarcía-Cosio Piqueras, Borjaes-ES
dc.contributor.authorLumbreras Sancho, Saraes-ES
dc.contributor.authorCatalina Esteban, Carloses-ES
dc.contributor.authorAlzaga Molaguero, Jose Maríaes-ES
dc.contributor.authorGómez Quilón, Davides-ES
dc.contributor.authorValdivia, Carlos Albertoes-ES
dc.contributor.authorde Lara, Celiaes-ES
dc.contributor.authorAncochea Bermúdez, Julioes-ES
dc.date.accessioned2021-06-07T11:54:23Z
dc.date.available2021-06-07T11:54:23Z
dc.date.issued2020-09-21es_ES
dc.identifier.issn2369-2960es_ES
dc.identifier.urihttps:doi.org10.219621653es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractBackground: 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.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.sourceRevista: JMIR Public Health and Surveillance, Periodo: 1, Volumen: online, Número: 3, Página inicial: e21653-1, Página final: e21653-13es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleHospital Epidemics Tracker (HEpiTracker): description and pilot study of a mobile app to track COVID-19 in hospital workerses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywordses-ES
dc.keywordsApp; COVID-19; E-medicine; Monitoring; Symptoms; Surveillanceen-GB


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