f973117f52a5a3fae89352116deda8b9 pmc_35010426.pdf 0accd17abd3df7aa9fcfb673d2c178cae98670ed pmc_35010426.pdf 33d7a4aaa05dcf41e597e62a1daaaecbd0aa6e75b9333f1d3c6851c37c0103dd pmc_35010426.pdf Title: Remote Health Monitoring in the Workplace for Early Detection of COVID-19 Cases during the COVID-19 Pandemic Using a Mobile Health Application: COVIDApp. Subject: Background: COVIDApp is a platform created for management of COVID-19 in the workplace. Methods: COVIDApp was designed and implemented for the follow-up of 253 workers from seven companies in Catalonia. The assessment was based on two actions: first, the early detection and management of close contacts and potential cases of COVID-19, and second, the rapid remote activation of protocols. The main objectives of this strategy were to minimize the risk of transmission of COVID-19 infection in the work area through a new real-time communication channel and to avoid unnecessary sick leave. The parameters reported daily by workers were close contact with COVID cases and signs and/or symptoms of COVID-19. Results: Data were recorded between 1 May and 30 November 2020. A total of 765 alerts were activated by 76 workers: 127 green alarms (16.6%), 301 orange alarms (39.3%), and 337 red alarms (44.1%). Of all the red alarms activated, 274 (81.3%) were activated for symptoms potentially associated with COVID-19, and 63 (18.7%) for reporting close contact with COVID-19 cases. Only eight workers (3.1%) presented symptoms associated with COVID-19 infection. All of these workers underwent RT-PCR tests, which yielded negative results for SARS-CoV2. Three workers were considered to have had a risk contact with COVID-19 cases; only 1 (0.4%) asymptomatic worker had a positive RT-PCR test result, requiring the activation of protocols, isolation, and contact tracing. Conclusions: COVIDApp contributes to the early detection and rapid activation of protocols in the workplace, thus limiting the risk of spreading the virus and reducing the economic impact caused by COVID-19 in the productive sector. The platform shows the progression of infection in real time and can help design new strategies. Keywords: COVID-19; health application; workplace; early detection; remote health monitoring Author: Patricia Echeverría, Jordi Puig, José María Ruiz, Jordi Herms, Maria Sarquella, Bonaventura Clotet and Eugenia Negredo Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Wed Dec 29 07:22:49 2021 CET ModDate: Wed Dec 29 07:26:24 2021 CET Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 9 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 2110237 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- CIQLLF+VnURWPalladioL Type 1 Custom yes yes no 10 0 NZUXWD+URWPalladioL-Bold Type 1 Custom yes yes no 15 0 AVENMM+URWPalladioL-Roma Type 1 Custom yes yes no 20 0 TRMFRZ+URWPalladioL-Ital Type 1 Custom yes yes no 24 0 YCYUXD+URWPalladioL-BoldItal Type 1 Custom yes yes no 28 0 YSPQJI+VnURWPalladioL-Bold Type 1 Custom yes yes no 32 0 MCBCCI+SourceSansRoman-Regular Type 1C Custom yes yes no 40 0 MCBCCM+SourceSansRoman.613wght Type 1C Custom yes yes no 44 0 MCBCCO+SourceSansRoman-Bold Type 1C Custom yes yes no 48 0 LWQXII+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 60 0 IRWHZX+TimesNewRomanPSMT Type 1C WinAnsi yes yes no 63 0 POGGHJ+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 95 0 POGGIK+PalatinoLinotype TrueType WinAnsi yes yes no 98 0 POGGIM+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 101 0 POGGHJ+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 112 0 POGGIK+PalatinoLinotype TrueType WinAnsi yes yes no 115 0 POGGIM+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 118 0 POGGHJ+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 132 0 POGGIK+PalatinoLinotype TrueType WinAnsi yes yes no 135 0 POGGIM+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 138 0 POGGHJ+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 153 0 POGGIK+PalatinoLinotype TrueType WinAnsi yes yes no 156 0 POGGIM+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 159 0 ILCEOI+PalatinoLinotype,Bold TrueType WinAnsi yes yes no 166 0 ILCEOK+PalatinoLinotype TrueType WinAnsi yes yes no 169 0 ILCFBL+PalatinoLinotype,Italic TrueType WinAnsi yes yes no 172 0 QGUKZH+CMSY10 Type 1 Builtin yes yes no 186 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-05-27 02:51:43 CEST RepresentationInformation: pmc_35010426.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2023-03-31 12:08:15 CEST Size: 2110237 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 283 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@44c8afef Item: Title: Methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7b69c6ba Children: Item: Title: Participants and Objectives Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@46daef40 Item: Title: COVIDApp Use and Dynamics Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@12f41634 Item: Title: Results Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@13c27452 Item: Title: Discussion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@262b2c86 Item: Title: Conclusions Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@371a67ec Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@5ed828d Info: Title: Remote Health Monitoring in the Workplace for Early Detection of COVID-19 Cases during the COVID-19 Pandemic Using a Mobile Health Application: COVIDApp. Author: Patricia Echeverría, Jordi Puig, José María Ruiz, Jordi Herms, Maria Sarquella, Bonaventura Clotet and Eugenia Negredo Subject: Background: COVIDApp is a platform created for management of COVID-19 in the workplace. Methods: COVIDApp was designed and implemented for the follow-up of 253 workers from seven companies in Catalonia. The assessment was based on two actions: first, the early detection and management of close contacts and potential cases of COVID-19, and second, the rapid remote activation of protocols. The main objectives of this strategy were to minimize the risk of transmission of COVID-19 infection in the work area through a new real-time communication channel and to avoid unnecessary sick leave. The parameters reported daily by workers were close contact with COVID cases and signs and/or symptoms of COVID-19. Results: Data were recorded between 1 May and 30 November 2020. A total of 765 alerts were activated by 76 workers: 127 green alarms (16.6%), 301 orange alarms (39.3%), and 337 red alarms (44.1%). Of all the red alarms activated, 274 (81.3%) were activated for symptoms potentially associated with COVID-19, and 63 (18.7%) for reporting close contact with COVID-19 cases. Only eight workers (3.1%) presented symptoms associated with COVID-19 infection. All of these workers underwent RT-PCR tests, which yielded negative results for SARS-CoV2. Three workers were considered to have had a risk contact with COVID-19 cases; only 1 (0.4%) asymptomatic worker had a positive RT-PCR test result, requiring the activation of protocols, isolation, and contact tracing. Conclusions: COVIDApp contributes to the early detection and rapid activation of protocols in the workplace, thus limiting the risk of spreading the virus and reducing the economic impact caused by COVID-19 in the productive sector. The platform shows the progression of infection in real time and can help design new strategies. 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