The Smart4COV19 project integrates telemedicine, remote sensing, and GIS technologies to monitor and assess the impacts of COVID‑19 in Bulgaria. The system combines satellite observations, ground‑based environmental measurements, meteorological data, and health records within an integrated geodatabase to support spatial analysis and decision‑making. Results show clear correlations between air pollution indicators (PM₂.₅, PM₁₀, NO₂) and COVID‑19 incidence, with temporal trends from 2020–2024 revealing alignment between pollutant concentrations and case density. GIS‑based mapping identifies urban pollution hotspots and supports targeted interventions, while telemedicine tools enable remote patient monitoring and reduce transmission risks. The project demonstrates the value of geospatial technologies for public‑health surveillance, highlights the role of air quality in infection dynamics, and outlines future directions including expanded data integration, predictive modelling, and smart‑city health infrastructure development.
Lachezar Filchev (Tue,) studied this question.