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                  <mods:namePart>Soriano, Joan B</mods:namePart>
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                  <mods:namePart>Fernandez, Esteve</mods:namePart>
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                  <mods:namePart>Garcia, Arturo</mods:namePart>
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                  <mods:namePart>Morales, Aurelio</mods:namePart>
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                  <mods:namePart>Lobo, Maria</mods:namePart>
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                  <mods:namePart>Maroto, Marcos</mods:namePart>
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                  <mods:namePart>Ferreras, Eloy</mods:namePart>
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                  <mods:namePart>Soriano, Cecilia</mods:namePart>
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                  <mods:namePart>Del Rio-Bermudez, Carlos</mods:namePart>
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                  <mods:namePart>Basagana, Xavier</mods:namePart>
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                  <mods:namePart>Alzaga, Jose María</mods:namePart>
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                  <mods:namePart>Gomez Quilon, David</mods:namePart>
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                  <mods:namePart>Alberto Valdivia, Carlos</mods:namePart>
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                  <mods:namePart>de lara, Celia</mods:namePart>
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                  <mods:namePart>Ancochea, Julio</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2024-09-13T09:13:33Z</mods:dateAccessioned>
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                  <mods:dateIssued encoding="iso8601">2020-07</mods:dateIssued>
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               <mods:identifier type="citation">Soriano JB, Fernandez E, De Astorza A, Perez De Llano LA, Fernandez-Villar A, Carnicer-Pont D, et al. Hospital Epidemics Tracker (HEpiTracker): Description and Pilot Study of a Mobile App to Track COVID-19 in Hospital Workers. JMIR Public Health Surveill. 2020 Jul;6(3):475-87.</mods:identifier>
               <mods:identifier type="doi">10.2196/21653</mods:identifier>
               <mods:identifier type="issn">2369-2960</mods:identifier>
               <mods:identifier type="journal">JMIR Public Health and Surveillance</mods:identifier>
               <mods:identifier type="other">http://hdl.handle.net/20.500.13003/17050</mods:identifier>
               <mods:identifier type="pubmedID">32845852</mods:identifier>
               <mods:identifier type="scopus">2-s2.0-85097886831</mods:identifier>
               <mods:identifier type="uri">https://hdl.handle.net/20.500.12105/22929</mods:identifier>
               <mods:identifier type="wos">578947300044</mods:identifier>
               <mods:abstract>Background: Hospital workers have been the most frequently and severely affected professional group during the COVID-19 pandemic, and have a big 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 symptoms compatible with COVID-19 in hospital workers. Methods: We developed and pilot tested Hospital Epidemics Tracker (HEpiTracker), a newly designed app to track the spread of COVID-19 among hospital workers. Hospital staff in 9 hospital centers across 5 Spanish regions (Andalusia, Balearics, Catalonia, Galicia, and Madrid) were invited to download the app on their phones and to register their daily body temperature, COVID-19-compatible symptoms, and general health score, as well as any polymerase chain reaction and serological test results. Results: A total of 477 hospital staff participated in the study between April 8 and June 2, 2020. Of note, both health-related (n=329) and non-health-related (n=148) professionals participated in the study; over two-thirds of participants (68.8%) were health workers (43.4% physicians and 25.4% nurses), while the proportion of non-health-related workers by center ranged from 40% to 85%. Most participants were female (n=323, 67.5%), with a mean age of 45.4 years (SD 10.6). Regarding smoking habits, 13.0% and 34.2% of participants were current or former smokers, respectively. The daily reporting of symptoms was highly variable across participating hospitals; although 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 infectious diseases in hospital workers. This tool has already been tested in real conditions. HEpiTracker is available in Spanish, Portuguese, and English. It has the potential to become a customized asset to be used in future COVID-19 pandemic waves and other environments.</mods:abstract>
               <mods:language>
                  <mods:languageTerm authority="rfc3066">eng</mods:languageTerm>
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               <mods:accessCondition type="useAndReproduction"/>
               <mods:subject>
                  <mods:topic>app</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>COVID-19</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Coronavirus</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>e-medicine</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Monitoring</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Symptoms</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Surveillance</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>Hospital Epidemics Tracker (HEpiTracker): Description and Pilot Study of a Mobile App to Track COVID-19 in Hospital Workers</mods:title>
               </mods:titleInfo>
               <mods:genre>research article</mods:genre>
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