Information technology platform for the selection and analytical processing of information on COVID-19

Abstract

Currently, the most effective way to counteract COVID-19 is to slow its spread through personal distancing, hand washing and the use of personal protective equipment. Vaccination processes of citizens are becoming widespread. At the same time, information technology will be able to help slow down the spread of COVID-19 by early detection, prediction and monitoring of new cases. This paper provides an overview of current research on the selection and processing of COVID-19 data. The role and location of IoT devices, communication networks and cloud infrastructure for the selection and processing of COVID-19 data are described. Based on the analysis of IoT -platforms for detection and monitoring of COVID-19, the structure of the information technology platform was formed. There are included data collection tools, primary networks, Internet, cloud infrastructure, data presentation tools. The architecture of the information technology platform for the selection and processing of COVID-19 data is proposed. A description of the process of collecting and analytical processing of COVID-19 information using machine learning algorithms is given. The model of the information technology platform classes structure for the selection and processing of COVID-19 data is considered. That contains more than 50 classes to describe more than 120 characteristics of information entities. The processes of selection and aggregation of COVID-19 data and integration of analytical processing tools based on machine learning algorithms into the information technology platform are described.