NOTICE: As of September 18, 2023, login to was disabled. Calendar admins will no longer be able to add new events or modify existing events.
If you need assistance with an existing event on calendar, please contact us:

 Event Calendar
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
   Day      Week     Month  
1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1
   Search      Update  
1 1 1

Thursday, August 30, 2007

Jun 2024
  S M T W T F S
W21 26 27 28 29 30 31 1
W22 2 3 4 5 6 7 8
W23 9 10 11 12 13 14 15
W24 16 17 18 19 20 21 22
W25 23 24 25 26 27 28 29
W26 30 1 2 3 4 5 6

Today is:
Thu, Jun 20, 2024

Subscribe & download

Filter events

  GBCB Seminar--Genetics, Bioinformatics & Computational Biology  

Speaker: Bryan L Lewis, PhD candidate in GBCB

Advisor: Dr. Chris Barrett, Director of Network Dynamics & Simulation Science Laboratory

in silico Epidemiology: Computer Simulations for Public Health Research

Public Health is one of the most compelling and important challenges faced by humankind. Advances in medicine have vastly improved our ability to identify and cure illnesses, however, many diseases continue to cause significant morbidity and mortality worldwide. Emerging diseases (SARS, pandemic influenza, and XDR TB for example) for which effective medicines have yet to be developed also pose a serious threat to the public's health. The field of Computational Epidemiology tackles public health problems by coupling the power of recently developed simulation tools with public health knowledge and methods developed by epidemiologists over the years. Simulations that combine realistic populations, their behaviors, disease propagation, and public health policies offer a unique opportunity to run public health experiments in silico. For public policy decision-makers this affords the ability to manipulate and gain an intuition about the policies they are considering. For public health researchers these simulations can provide a wealth of information that would be unobtainable in the real world, allowing deep and novel analyses of public health data. Fully understanding and interpreting the complexity represented in these simulations is challenging and is an active area of research in complexity science. The results of several experiments will be presented covering a range of modeling techniques and analytic methods. The first set of experiments explores the general behavior and sensitivity of these systems. The second set demonstrates how having detailed representations can lead to novel analyses and experimental designs. A third set describes methods developed to further understand the co-evolution of a population's social network resulting from behavior changes stimulated by and infectious disease epidemic. These are simple examples of the contributions in silico epidemiology can make to public health research.

Refreshments from 3:15-3:55, seminar starts promptly at 4pm.
Open to the public, your attendance is welcome!!
More information...

Location: VBI Conference Center, located off the first floor lobby
Price: FREE
Contact: Dennie Munson
copy this event into your personal desktop calendar
powered by VTCalendar 2.2.1