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.
Assists in modelling the world-wide spread of epidemics for human transmissible diseases. GLEaMviz offers extensive flexibility in the design of the compartmental model and scenario setup. It offers three types of visualization highlighting: (i) the spread of the infection on a zoomable 2D map, (ii) the spread of the infection on an interactive 3D globe, and (iii) the structure of the airport network that influences the notion of distance.
Offers a R package for procuring a way to construct, solve, and view mathematical models related with infectious disease. EpiModel permits users to simulate epidemic models for both pedagogical and research purposes. It proposes three classes of epidemic models (deterministic compartmental models, stochastic individual contact models, stochastic network models) and three infectious disease types (susceptible-infectious, susceptible-infectious-recovered, and susceptible-infectious-susceptible) which can be extended.
Offers a method for evaluate time-varying instantaneous reproduction numbers from incidence time series. EpiEstim is a R package that relies on knowledge of the serial interval distribution but is able to directly incorporate uncertainty in serial interval distribution estimates. It can also detect changes in the reproduction number. Additionally, the package implements the Wallinga and Teunis method to facilitate comparison.
Assists users in the creation and use of spatial and temporal models for emerging infectious diseases. STEM is an application that includes models to aid in understanding and potentially preventing the spread of such diseases. This method also facilitates the development of advanced mathematical models, the creation of flexible models involving multiple populations (species) and interactions between diseases, and the understanding of epidemiology.
Allows estimation of a climate-driven mosquito-borne viral suitability index. MVSE is a program able to determine a suitability index based on a climate-driven mathematical expression for the basic reproductive number of a well established mathematical model for the transmission dynamics of mosquito-borne viruses. For instance, this tool can be used for studying a mosquito-borne viral suitability index.