Welcome to the Computational Epidemiology Research Laboratory (CERL)
at the
University of North Texas.
CERL was established in 2004 to conduct and promote research in computational epidemiology.
The ability to predict how a disease might manifest itself in the population at large is essential
for identifying disease monitoring, intervention and control strategies.
Epidemiologists traditionally rely on data that has been collected during previous outbreaks.
However, for newly emerging or re-emerging infectious diseases, such data is often unavailable or outdated.
Changes in population composition and dynamics require the design of models and social networks
that bring together knowledge of
specific infectious diseases and demographics and geography of the region under investigation.
At CERL,
faculty and students from inter-disciplinary domains work together to develop new scientific
methods that enhance the comprehension of intricate interplay between disease and population.
Recent News
- Website redesign - February 2008
- CD Corley, AR Mikler, DJ Cook and KP Singh Dynamic intimate contact social networks and epidemic interventions. to appear Int. J. Functional Informatics and Personalized Medicine 2008
- Professor Mikler gives keynote at EpiGrid 2007 in Hagen, Germany
- Courtney Corley gives talk Social epidemiology and intimate social networks at EpiGrid 2007 in Hagen, Germany
- Welcome new system administrator Angel
- Generating social networks of intimate contacts for the study of public health intervention strategies Accepted BIBE07