COVID-19 Dashboard: Early warning system for undetected SARS-CoV-2 infection and disease progression to severe COVID-19 - Texts

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Research unit

INNOSUISSE

Project number

52441.1 IP-LS

Project title

COVID-19 Dashboard: Early warning system for undetected SARS-CoV-2 infection and disease progression to severe COVID-19

Texts for this project

	German	French	Italian	English
Short description		-	-
Abstract		-	-	-

Inserted texts

Category	Text
Short description (German)	COVID-19 Dashboard: Early warning system for undetected SARS-CoV-2 infection and disease progression to severe COVID-19
Short description (English)	COVID-19 Dashboard: Early warning system for undetected SARS-CoV-2 infection and disease progression to severe COVID-19
Abstract (German)	The false-negative rate of SARS-CoV-2 testing is up to 38%. Virus transmission occurs among hospitalized patients and medical staff. Predictive models are developed including biomarkers and high-resolution data from biosignals to provide a more accurate diagnosis and live prognosis of COVID-19.