PUBLIC HEALTH COVID-19 CASE TRACKER

Abstract

The Public Health COVID-19 Case Tracker is a data-driven system designed to collect, analyze, visualize, and monitor COVID-19 case information. During a public health emergency, large amounts of information may be generated from different regions and time periods. A centralized tracking system can help organize this information and present it in an understandable format. The proposed system processes information such as confirmed cases, recovered cases, active cases, deaths, vaccination statistics, testing information, geographical location, and reporting dates. Data preprocessing techniques are applied to handle missing values, duplicate records, inconsistent formats, and invalid entries. The cleaned information is stored and prepared for further analysis. The system provides an interactive dashboard containing important indicators such as total cases, active cases, recovered cases, deaths, vaccination counts, and daily case changes. Users can analyze cases based on states, districts, countries, or selected time periods depending on the available dataset. Charts, graphs, maps, tables, and KPI cards make public-health information easier to understand. The tracker can also identify case trends and changes over time through time-series analysis. Regional comparisons can help users understand differences in reported case counts and recovery patterns. Additional analytical modules can be incorporated to identify unusual increases in reported cases and provide statistical summaries. Overall, the Public Health COVID-19 Case Tracker provides a centralized platform for organizing and visualizing COVID-19-related data. It can support researchers, public-health analysts, administrators, and other authorized users in understanding historical and current data patterns. Future enhancements can include real-time data integration, forecasting models, automated alerts, vaccination analysis, and integration with additional public-health datasets.