PROSPECTS OF DIGITALIZATION IN EPIDEMIOLOGY

Digital transformation is a key area in modern epidemiology, with significant potential for improving public health parameters. The implementation of artificial intelligence and machine learning methods in the processes of diagnosing and predicting the incidence of infectious diseases increases the accuracy and speed of epidemiological analysis, allows processing large volumes of data, identifying patterns in the spread of infections and developing strategies to prevent them. The article reviews three software platforms developed at the Central Research Institute of Epidemiology of Rospotrebnadzor for the implementation of epidemiological monitoring of coronavirus infection and other infectious diseases. The VGARus platform has become a key tool for monitoring the dynamics of the COVID-19 pandemic in Russia. The platform’s potential goes beyond SARS-CoV-2 research: it is expanding to collect data on other pathogens. The SOLAR platform consolidates information on laboratory results for SARS-CoV-2 and allows for effective data exchange between various medical institutions and government agencies, as well as the transfer of information on the conducted tests directly to the State Services portal in the personal accounts of individuals. SOLAR provides centralized storage of all COVID-19-related laboratory results, facilitating their further review. Another project of the Institute, the EpidSmart analytical platform, solves the task of comprehensive analysis of data on the development of the epidemic process in Russia with the identification of categories and territories of infection risk.