State Research Programme “Covid-19 mitigation” project COV-MITIGATE No. VPP-COVID-2020/1-0008
“Multidisciplinary approach to monitor, mitigate and contain COVID-19 and prevent other future epidemics in Latvia (VPP COV-MITIGATE)”
This project aims to solve subtask 6.1. of State Research Programme for “Covid-19 mitigation” – to monitor and forecast the prevalence of Covid-19 and its influencing factors in Latvia, using epidemiological information, molecular data and modeling to reduce the spread of infection, timely identify and prevent new outbreaks, as well as increase preparedness for other similar outbreaks and seasonal Covid-19 , to carry out comprehensive epidemiological studies to detect the presence of SARS-CoV-2 virus in the external environment and in domestic animals affected by SARS-CoV-2 virus in order to understand the optimal safety measures to minimize the exposure of the environment and domestic animals further spread of the virus and to develop recommendations for controlling the infection, as well as to carry out studies to assess the development of collective immunity.
- University of Latvia, Faculty of Medicine (Leading partner)
- University of Latvia, Faculty of Computing
- Latvian Biomedical Research Study Centre
- Riga Stradiņš University
- EDI (Institute of Electronics and Computer Science)
- BIOR – institute of food safety, animal health and environment
- Riga Technical University
- Latvia University of Life Sciences and Technologies
Aim of the project:
To improve systemic preparedness for outbreaks of COVID-19 and other diseases with epidemic potential. In the course of the project, an in-depth analysis of the spread of SARS-CoV-2 virus in Latvia will be performed, incl. the prevalence of different branches of the virus and the effectiveness of various control tools (including those based on innovative IT methods), on the basis of which evidence-based recommendations for safety measures in schools, hospitals, workplaces and cultural events will be provided.
Task of EDI in the project:
To develop an innovative edge computing device capable of detecting people distance in time dimension while preserving their privacy.