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Remote Health Monitoring in the Workplace for Early Detection of COVID-19 Cases during the COVID-19 Pandemic Using a Mobile Health Application: COVIDApp.
Echeverría, Patricia; Puig, Jordi; Ruiz, José María; Herms, Jordi; Sarquella, Maria; Clotet, Bonaventura; Negredo, Eugenia.
  • Echeverría P; Infectious Diseases Department & Lluita Contra la Sida Foundation, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain.
  • Puig J; Infectious Diseases Department & Lluita Contra la Sida Foundation, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain.
  • Ruiz JM; Doolehealth S.L. Digital Health Department, 08500 Barcelona, Spain.
  • Herms J; Doolehealth S.L. Digital Health Department, 08500 Barcelona, Spain.
  • Sarquella M; Infectious Diseases Department & Lluita Contra la Sida Foundation, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain.
  • Clotet B; Infectious Diseases Department & Lluita Contra la Sida Foundation, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain.
  • Negredo E; AIDS Research Institute-IRSICAIXA, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, 08916 Badalona, Spain.
Int J Environ Res Public Health ; 19(1)2021 Dec 24.
Article in English | MEDLINE | ID: covidwho-1580835
ABSTRACT

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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / COVID-19 Type of study: Cohort study / Prognostic study Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Ijerph19010167

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / COVID-19 Type of study: Cohort study / Prognostic study Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Ijerph19010167