2021/08/23 by Arun Mitra, Mitra, Arun, Biju Soman +3
Mathematics · Medicine · #COVID-19 diagnosis using AI #COVID-19 epidemiological studies #Computers and Society (cs.CY) #Data-Driven Disease Surveillance #FOS: Computer and information sciences
paper · pdf · doi:10.48550/arxiv.2108.09937
openalex publication_date 2021/08/23 · openalex created_date 2021/08/30 · openalex updated_date 2026/07/28
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.