Model the spread and effects of a disease and plan the optimal treatment
Tracking the spread of a disease
Monitoring symptoms and treatments
Forecasting product sales based on disease prevalence
Every disease generates data that can help better understand it and determine what treatments would be best suited to deal with it. The data itself, however, isn’t structured. It often needs cleaning, enrichment, and a few good visualizations to get to the most worthwhile insights. Our client, a life science company, understood this and contacted us to see how best to utilize their data and plan for a disease’s pervasiveness.
Our solution centered around an Anaplan model that could provide monitoring of specific diseases. The data for the model was acquired through public registers combined with the client’s own. Using the model, our client was able to monitor specific disease symptoms and the overall spread of the disease. They could also make forecasts of the population of specific countries and how the disease would affect them. Additionally, they could view forecasts that presented their product sales trend based on the disease’s prevalence.
With our model, the client was able to answer questions like how many people get sick in different age groups, how many of them are treated or don’t make it, what trials are conducted in the specific area of research, and so on. By monitoring the overall spread of the disease, they could easily find out the frequency of new patients developing the disease and the mortality rate of the affected. They could also finally break down the data for further inspection by age groups, diagnosed vs. undiagnosed, disease research progress, etc.