Computational epidemiology
From Wikipedia, the free encyclopedia
Computational epidemiology is the application of tools within the domains of computer science and medical geography to the study of the epidemiology of diseases. It differs from bioinformatics in that it is centered more around studying how diseases spread and not the actual disease itself.
[edit] External links
- DIMACS Computational Epidemiology
- UNT Computational Epidemiology Research Laboratory
- The Center for Computational Epidemiology, Bioinformatics and Risk Analysis (CCEBRA) at Tuskegee University

