Displaying 1 to 5 from 5 results

Epi Info™ Companion for Android


A mobile companion to the Epi Info™ 7 desktop tool for epidemiologic data collection and analysis.

Epi Info™ - Community Edition

  •    DotNet

Form and database construction, data entry, data analyses, and data visualization tools for public health.

EpiModel - Mathematical Modeling of Infectious Disease Dynamics

  •    R

Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic agent-based models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an easy API for extending these templates to address novel scientific research aims. Additional contributors to the EpiModel package include Emily Beylerian, Skye Bender-deMoll, and Kevin Weiss.

EpiModelHIV - Network Models of HIV Transmission Dynamics among MSM and Heterosexuals

  •    R

An R package for simulating HIV transmission dynamics among men who have sex with men and heterosexual populations, developed as an extension to our general network-based epidemic modeling platform, EpiModel. EpiModel and EpiModelHIV use the statistical framework of temporal exponential-family random graph models to fit and simulate models of dynamic networks. These statistical methods have been developed and implemented as open-source software, building on the extensive efforts of the Statnet research group to build software tools for the representation, analysis, and visualization of complex network data.

cholera - R Package for Analyzing John Snow's 1854 Cholera Map

  •    R

John Snow's map of the 1854 cholera outbreak in London is one of the best known examples of data visualization and information design. By plotting the number and location of fatalities on a map, Snow was able to do something that is easily taken for granted today: the ability to create and disseminate a visualization of a spatial distribution. To our modern eye, the pattern is unmistakable. It seems self-evident that the map elegantly supports Snow's claims that cholera is a waterborne disease and that the pump on Broad Street is the source of the outbreak. And yet, despite its virtues, the map failed to convince both the authorities and Snow's colleagues in the medical and scientific communities.