Offers a modeling environment for simulating complex phenomena. NetLogo is available through both a standalone software and a web application coupled to a homepage that displays a library of models and extensions. The software encompasses a large model application area including spread of disease, fractals, cellular automata or crystallization. Additionally, the program includes a feature for saving models as Java applets, for facilitating the publication of the simulations from the tool to a Web page.
Feigns numerous models of contact networks, viral transmission, phylogenetic and sequence evolution, data (sub)sampling, and real-world data perturbations. FAVITES is able to find people with increased risk of onward transmission. It can assist public health officials to optimize spending their limited budgets for targeted prevention or treatment. This tool allows to mimic conditions similar to epidemic and pick the best method/threshold tailored to a situation.
Compiles a combination of epidemic/network-related tools. Epinet is a R package that can generate contact networks to simulate the transmission of diseases. It includes features to perform bayesian inference on network and epidemic parameters. Moreover, the package allows users to convert the obtained transmission tree in Newick format or to generate posterior samples of an object.
Summarizes the impact of communicable disease in the European Union and European Economic Area Member States. The BCoDE toolkit is a user-friendly software for estimating the burden of communicable diseases. The toolkit facilitates communication between data analysts and users through multiple visualization options, ultimately fostering its value in health policy communication. It computes disease-specific results displayed as Disability-Adjusted Life Years (DALYs) calculated for the selected set of disease models, and based on the incidence values entered by the user. The BCoDE toolkit implements a very generic calculation engine that is not restricted to any specific disease model.
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