Scientists are creating their own virtual worlds where people live and work—and get sick. Here, researchers can mimic viruses and predict the spread of contagious diseases through a community. Successful simulations can help us better prepare for real-life outbreaks.
Now Trending: Mining Historical Data on Infectious Diseases
Researchers have collected, digitized and analyzed infectious disease data to uncover trends related to the availability of vaccines.
A technique that predicts when cities may experience the highest number of flu cases could aid preparedness efforts.
Getting a Better Grasp on Flu Fundamentals
Studying the molecular structure of the flu virus and modeling how flu infection can spread are aiding efforts to keep people from getting sick.
Q&A: Michelle Lee, High School Epidemiologist
Teenager Michelle Lee modeled the spread of an invasive skin bacteria among high school athletes.
Computing the Contagious
Three new projects enlist the help of computers to help keep dengue fever, tuberculosis, H1N1 influenza and other contagious diseases under control.
Virtual Populations Get More Real
Mapping where people likely live within a virtual population helps modelers more realistically simulate the spread of infectious diseases.
Solving the Sleeping Sickness 'Mystery'
Modeling tsetse fly distribution in Kenya may aid efforts to stop the spread of a deadly disease.
How Contagious Diseases Spread through Communities | 12/20/10
Tracking interactions at a high school reveals new insights into the role of social networks in disease spread.
Modeling H1N1: Then and Now | 9/23/10
Computational modelers continue to simulate how the H1N1 flu could spread.
Census Data Aids Disease Simulation Studies | 3/31/10
Did you know that filling out your census card will also help computer scientists model how diseases spread in the United States?
Q&A: Jeffrey Shaman on Seasonal Flu and Humidity | 2/23/10
New modeling work indicates that absolute humidity is the main driver of seasonal flu outbreaks during the winter.
The Science of Simulating Disease Spread
Part 3: The Future of Infectious Disease Modeling | 1/7/10
In the final part of the series, Irene Eckstrand discusses some of the future challenges of infectious disease modeling.
Part 2: Modeling the 2009 H1N1 Pandemic | 1/4/10
In the second part of the series, Irene Eckstrand explains how researchers develop and use disease spread models to help us prepare for and manage outbreaks.
Part 1: Why We Model Infectious Diseases | 12/28/09
In the first of a three-part series, modeling expert Irene Eckstrand discusses how modeling can help us understand and manage new infectious diseases.
Research on a Mission: Five Years with MIDAS | 9/3/09
MIDAS director Irene Eckstrand talks about helping modelers and policymakers understand disease spread and containment.
Disease Modeling Efforts Gain New Ground | 9/3/09
To help the nation—and the world—understand and prepare for contagious outbreaks, new research groups join the Models of Infectious Disease Agent Study.
First Look: Policy Informatics | 8/24/09
Some computer modelers are giving their disease-spread simulations to policymakers to help them decide how to intervene in an outbreak.
Disease-Spread Modeling Gets Help from Facebook | 6/11/09
Researchers survey Facebook users to better understand how their decisions influence—and are influenced by—disease outbreaks.
10 Reasons to Model | 1/7/09
From explaining concepts to finding the simple within the complex, modeler Joshua Epstein offers ten reasons scientists make computer simulations.
Following Flu | 6/11/08
A new modeling technique called antigenic cartography traces flu's global spread, including its likely responsiveness to vaccine.