Search Results for "disease"

Genetic Architecture Model Emulator for Testing and Evaluating Software (GAMETES) is an algorithm for the generation of complex single nucleotide polymorphism (SNP) models for simulated association studies. GAMETES is designed to generate epistatic models which we refer to as pure and strict, that constitute the worst-case in terms of detecting disease associations, since such associations may only be observed if all n-loci are included in the disease model. User friendly GAMETES software rapidly and precisely generates epistatic multi-locus models, and can generate simulated datasets based on these models. Version 2.0, adds the ability to generate heterogeneous datasets by applying multiple independent models to different subsets of the simulated data. ...

NAADSM is a framework for creating stochastic, spatial, state-transition simulation models of the spread and control of highly contagious diseases of animals. User-established parameters define model behavior in terms of disease progression; disease spread by animal-to-animal contact, contact with contaminated personnel or equipment, and airborne dissemination; and the implementation of control measures such as vaccination and depopulation. Resources available to implement disease control strategies are taken into consideration. The model records a wide variety of measures of the extent of simulated outbreaks and other characteristics. ...

The Global Epidemic Simulator is a platform for modelling directly transmissible human diseases such as influenza, and testing intervention policies that may reduce the duration or severity of an outbreak of such a disease. Building on previous work, this model is spatial and individual-based, using various geographical and demographic data sources to place households at absolute locations, populated with individuals of specific ages who each attend schools or workplaces situated in their vicinity. The significant advance of this project over previous work is the global nature of simulation, the memory and performance requirements of which motivate us towards a multi-core, multi-computer solution.

The Disease Simulation Framework (DiSiF) represents a spatial simulation environment for infectious viral disease spread. The framework currently embodies a very simple framework for simulation in 2D space with focus on SARS and the Common Flu.

sispread allows to simulate the dynamics of an hypothetic infectious disease within a contact network of connected people. It is intended to help people concerned by public health to easily perform epidemic simulations and to analyze their results.