Case study of COVID-19 meta-data curation and real-time identification
Under National Research Programme in Nordics Longenesis in collaboration with the Latvian Biomedical Research and Study Centre (BMC), University of Latvia, Riga Stradins University and Riga Technical University launched an initiative aimed towards COVID-19 research acceleration and enabling of the Federated Learning pipeline.Goals:
The main goal of the project was to involve Latvian population in a research initiative that could provide an ability to provide real-time, borderless biomedical data and patient identification for COVID-19 research with an ability to provide collected results or access to specific subsets of data without compromising data security and participant privacy.Use case:
A dataset of 700+ participants has been collected under two subsequent surveys targeted at the population at large. Both surveys were deployed on a landing page specifically designed for the initiative collecting data about participants' overall health while assessing their potential risk to be among severe COVID-19 cases. The other survey tried to determine their readiness to get vaccinated. Results of this study are published in MDPI Vaccines Journal: https://www.mdpi.com/2076-393X/9/12/1384 Other use case scenarios:
The data collected could have been studied for decision making purposes, such as communication planning for state-wide vaccination or the necessary state-wide restriction planning, taking into account the number of potential high risk cases and participant attitudes. The platform also performed the function of a supplementary and trust-worthy communication channel to educate the population about the necessary preventive measures and risks associated with COVID-19 pandemics.