An Interactive Dashboard for Real-Time Analytics and Monitoring of COVID-19 Outbreak in India: A proof of Concept

TL;DR

This paper presents a real-time, interactive dashboard for COVID-19 data analysis in India, integrating multiple data sources to aid epidemiological surveillance and public health decision-making.

Contribution

It introduces a novel dashboard application that combines data science and epidemiological techniques for real-time COVID-19 monitoring at district level in India.

Findings

Dashboard effectively visualizes epidemic trends and key parameters.

Enables timely epidemiological surveillance and decision support.

Integrates diverse data sources for comprehensive analysis.

Abstract

Data analysis and visualization are essential for exploring and communicating findings in medical research, especially in epidemiological surveillance. Data on COVID-19 diagnosed cases and mortality, from crowdsourced website COVID-19 India Tracker, Census 2011, and Google Mobility reports have been used to develop a real-time analytics and monitoring system for the COVID-19 outbreak in India. We have developed a dashboard application for data visualization and analysis of several indicators to follow the SARS-CoV-2 epidemic using data science techniques. A district-level tool for basic epidemiological surveillance, in an interactive and user-friendly manner which includes time trends, epidemic curves, key epidemiological parameters such as growth rate, doubling time, and effective reproduction number have been estimated. This demonstrates the application of data science methods and epidemiological techniques in public health decision-making while addressing the gap of timely and reliable decision aiding tools.