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.
翻译：在医学研究中,特别是在流行病学监测中,数据分析和可视化对于探索和交流研究结果至关重要。来自众包网站COVID-19印度追踪器2011年人口普查和Google流动报告关于COVID-19诊断病例和死亡率的数据被用于开发印度COVID-19爆发的实时分析和监测系统。我们开发了一个用于数据可视化的仪表板应用程序,用于利用数据科学技术跟踪SARS-CoV-2流行病的若干指标。一个地区级基础流行病学监测工具,以互动和方便用户的方式,包括时间趋势、流行病曲线、关键流行病学参数,如增长率、加倍时间和有效的复制数。这显示了在公共卫生决策中应用数据科学方法和流行病学技术,同时解决及时可靠的决策辅助工具的差距。
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