COVID-19 Rapid Response Research with Workflow-based Data Analysis

Given the pertinence and acceleration of COVID-19, there is an increased need for replicability of data models to verify the veracity of models and to quickly visualize important data. Further, most visualizations of COVID-19 are at a country level, meaning there is a dearth of analysis of provincial data within a given country. This lack of visualizations does not stem from a lack of data since data is available in abundance. Considering these two issues, our research intends to find a simple, replicable, and educational process for COVID-19 data visualizations for provincial data. Through KNIME, we have successfully created a replicable process that can generate choropleth maps of COVID-19 data for any given country. Equally important, the creation of such maps does not require an expertise in coding or data visualization, which makes our workflow simple and easy to use.