COVIDtrace - Prevention of COVID-19 transmission among patients and healthcare workers in hospitals and nursing homes using intelligent contact tracing.
- Funded by Innovationsfonden Denmark
- Total publications:0 publications
Grant number: unknown
Grant search
Key facts
Disease
COVID-19Funder
Innovationsfonden DenmarkPrincipal Investigator
N/A
Research Location
DenmarkLead Research Institution
Konduto, DTU (in addition, Skejby and Plejecenter Sølyst are included)Research Priority Alignment
N/A
Research Category
Infection prevention and control
Research Subcategory
Barriers, PPE, environmental, animal and vector control measures
Special Interest Tags
N/A
Study Type
Clinical
Clinical Trial Details
Not applicable
Broad Policy Alignment
Pending
Age Group
Adults (18 and older)
Vulnerable Population
Unspecified
Occupations of Interest
Health PersonnelHospital personnel
Abstract
Infection detection of COVID-19 is a time-consuming, manual and resource-intensive process. The COVIDtrace project aims to automate the process and prevent the spread of COVID-19 and other types of infections. The purpose of the project is to develop a tool based on pattern recognition algorithms that can tell where and when infection is transmitted in hospitals and nursing homes. In this way, it will be possible to quickly test exposed patients and staff, initiate effective quarantine procedures and clean dirty equipment. The solution is data-driven and works through sensors on soap and alcohol dispensers as well as a so-called token, which is worn by healthcare professionals. The system identifies those who have been in close contact with an infected person and assesses the risk of infection transmission through algorithms and built-in data on hand hygiene compliance.