swMATH ID: 23668
Software Authors: Saman Jirjies, Garrick Wallstrom, Rolf Halden, Matthew Scotch
Description: pyJacqQ: Python Implementation of Jacquez’s Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies. Jacquez’s Q is a set of statistics for detecting the presence and location of space-time clusters of disease exposure. Until now, the only implementation was available in the proprietary SpaceStat software which is not suitable for a pipeline Linux environment. We have developed an open source implementation of Jacquez’s Q statistics in Python using an object-oriented approach. The most recent source code for the implementation is available at https://github.com/sjirjies/pyJacqQ under the GPL-3. It has a command line interface and a Python application programming interface.
Homepage: https://github.com/sjirjies/pyJacqQ
Source Code:  https://github.com/sjirjies/pyJacqQ
Keywords: Python; epidemiology; Jacquezs Q; clustering; public health; Journal of Statistical Software; www.jstatsoft.org
Related Software: NumPy; nose; SciPy; SpaceStat; GitHub; Python
Cited in: 0 Publications

Standard Articles

1 Publication describing the Software Year