Disease Modeling is an integral part of curing and treating diseases. Disease modeling is a widely popular study to do with taking raw data such as the number of infected, recovered, and dead to a disease and using it to model the progression and dangers of the disease. There are many types of models you can use such as the S.I.R. model (Susceptible, Infected, Recovered Model) and many more modifications of that model. Modeling helps predict the next step of critical care specialists on how to treat and stop the disease. For example, modeling a disease before and after a vaccine has been administered helps specialists understand how effective the vaccine has been, and much more.
My Disease Modeling Project
By Rohit Duggaraju
I decided to model the outbreak of the Ebola virus in three West African countries: Sierra Leone, Guinea, and Liberia. I extracted data from the World Health Organization database, and modeled it using Python. The slideshow below is a walkthrough of the steps I took, the variables and numbers I had to calculate, and the conclusions of my experience modeling this data.