PRACTICAL ASPECTS OF INTERACTIVE VISUALIZATION OF EPIDEMIOLOGY DATA USING WEB TECHNOLOGIES

Abstract

This article presents the theoretical foundations and practical results of using modern web technologies for interactive, real-time visualization of epidemiological data. The architecture of an interactive dashboard built with HTML5, CSS3, and JavaScript, its user interface components, and the capabilities of the Chart.js library are analyzed in detail. Features such as visual comparison of quarantine scenarios, dynamic parameter controls, and real-time data recalculation are implemented. The role of the dashboard in demonstrating the "flatten the curve" strategy is demonstrated through practical examples.