MODELS AND RESOURCES
    MODELS

Modeling is a complex endeavor, and often it is very difficult to reconcile results from different models. In many cases, journals do not allow enough space to completely describe model structure and assumptions. To aid in this process of model description and comparison, a set of model profiles - one for each MIDAS model - has been developed. Continue reading more about modeling.
MIDAS offers researchers and array of different models for their research. Below are the currently available models:

Geospatial Area and Information Analyzer (GAIA) GAIA is a visualization and analysis tool designed specifically to accommodate epidemiological research. GAIA is a web-service that is accessible to the public. Link provides details of the tool.
Visualization & Exploration of Large Multiple sequence Alignments (VELMA) VELMA is a Java tool for visualizing alignments of large numbers of biological sequences that exceed the capabilities of existing software. VELMA's download page is http://velma.sourceforge.net/.
Project Tycho ™ Project Tycho ™ was created at the University of Pittsburgh Graduate School of Public Health to promote open access to public health data. Read More
Highly Extensible Resource for Modeling Event-Driven Supply Chains (HERMES) A Computational Tool to Design, Plan and Improve Supply Chains. Read More
Indicators for Stress-Adaptation Analytics (ISAAC) A Data Source for Modeling Public Health System Operations. Read More
Legal Networks Analyzer (LENA) To improve emergency preparedness and response capacity in state and local public health systems, the Legal Network Analyzer (LENA), a web-based applet, was created. LENA allows policymakers to visualize legally directed relationships between public health system agents as mandated by federal or state statutes and regulations. Public health systems can be identified in a state, as well as compared between states, or between a state and the government. For example, the text of the National Response Framework's (NRF) nuclear incident annex was coded to identify the specific actions and directives our nation's chief Emergency Management Agency has given to prepare for and respond to nuclear incidents in the United States. The NRF nuclear incident directives were then compared to the nuclear incident directives given by each state legislature. The laws were mapped and legal networks created to visually demonstrate marked state variability in preparedness and response capacity for nuclear/radiologic incidents. The draft interactive applet can be accessed at: www.phdl.pitt.edu/LENA.
FRED FRED (Framework for Reconstructing Epidemiological Dynamics) is an open source modeling system developed by the University of Pittsburgh Public Health Dynamics Laboratory in collaboration with the Pittsburgh Supercomputing Center and the School of Computer Science at Carnegie Mellon University. The system uses agent-based modeling based on census-based synthetic populations that capture the demographic and geographic distributions of the population, as well as detailed household, school, and workplace social networks. FRED supports research on the dynamics of infectious disease epidemics and the interacting effects of: mitigation strategies, viral evolution, and personal health behavior. To install the software click here. Read more
EpiFire EpiFire is a fast C++ applications programming interface for simulating the spread of epidemics on contact networks. Read more
Malaria Tools Malaria Tools is a user-interface to a combined intervention model for P.falciparum malaria which was developed by Imperial College London as part of the Vaccine Modeling Initiative funded by the Bill and Melinda Gates Foundation. Read more
ABM++ A software framework is a tool for developing distributed agent based models that execute in cluster environments. Read more
Global Epidemic Model To study the effects of global air travel on the spread of infectious human viruses, MIDAS researchers at RTI International and The Brookings Institution have developed the Global Epidemic Model (GEM). A stochastic equation-based (SEB) global epidemic model is available that can be used to forecast the global spread of a disease and to test intervention strategies for controlling disease transmission. It is currently tailored to model a possible influenza epidemic, but it can be easily modified to model other potential global epidemics. Read more
FluTE FluTE is a stochastic influenza epidemic simulation model. Read more
TranStat An analytic tool, TranStat is available to analyze data from outbreaks of acute infectious disease to test for the presence of human-to-human transmission (or animal-to-animal in veterinary settings) and to estimate epidemiologic characteristics of the disease. Read more