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CORONASENSE: Indoor Air Quality Monitoring for COVID-19

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The aim of the CORONASENSE project is to develop and bring to the market an innovative software to assess in real-time the Indoor Air Quality specifically for conditions that enable the spread of COVID-19 in large public indoor spaces.

Poor Indoor Air Quality has been proven to act as an enabling mechanism for airborne virus spreading while it is one of the most frequent reasons for respiratory and cardiovascular health problems that render people susceptible to significant complications after their infection with the virus. Automated assessment for the Indoor Air Quality and identification of high-risk areas is detrimental in order for the necessary corrective measures to be taken. Especially for highly infectious airborne viruses such as the COVID-19 virus, a real time mechanism for spatial and temporal IAQ analysis and estimation is an essential part for the control of the virus spreading.

The developed software will enable the proactive minimization of the spreading risk of the virus and the minimization of the overall effects of poor Indoor Air Quality on occupant’s health. As part of this project, the company LELANTUS INNOVATIONS LTD, will coordinate the development of a minimum viable business product, its validation in an operational environment, and the evaluation of its commercialization potential with early adopters and potential investors.

This project’s partnership consists of the KIOS Research and Innovation Center of Excellence at the University of Cyprus, Cyprus University of Technology and LELANTUS INNOVATIONS, a startup company based in Cyprus, which develops innovative solutions for the estimation, monitoring and control of Indoor Air Quality in Intelligent Buildings.

The CORONASENSE project (SEED-COVID/0420/0026) is co-financed by the European Regional Development Fund (ERDF) and by the republic of Cyprus through the Research and Innovation Foundation (RIF).

Project’s website: https://lelantusinnovations.com/lelantus-project/coronasense/

                 

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