The COVID-19/SARS-CoV-2 pandemic has been at the forefront of many peoples’ minds throughout this time. While there are many great dashboards for visualizing the current status of infection, this app focuses on specific trends associated with the viral spread. The app uses statistical approaches to model the rate at which the numbers of cases are expanding to identify “hot spots.” Data from a chosen location, combined with user-selected parameters, are used to inform and present a simple SIR model that forecasts the spread of infection, absent any changes such as the expanding or relaxation of public health measures.
This application showcases of how the right visualization tool can make complex data accessible to the lay user offering expert data analysis to researchers and business audiences alike. Data is compiled from a number of sources and then presented across several dimensions (such as cases for every location for a given date or cases by day for a given location), subjected to statistical analysis, and then used to inform a model.
BSSI has developed similar applications combining proprietary client data sources (e.g., clinical with genomics data) and customizing visualization tools to allow for interactive data exploration, and for creation of production-level tables, figures and listings for submissions/publications. Please contact us for more information.
A SIR model is an epidemiological model that computes the theoretical number of people infected with a contagious illness in a closed population over time. The name SIR model derives from the variables used in the equations: susceptible people (S), people infected (I), and people who have recovered (R).