@article{JSSv074i06, title={pyJacqQ: Python Implementation of Jacquez’s Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies}, volume={74}, url={https://www.jstatsoft.org/index.php/jss/article/view/v074i06}, doi={10.18637/jss.v074.i06}, abstract={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.}, number={6}, journal={Journal of Statistical Software}, author={Jirjies, Saman and Wallstrom, Garrick and Halden, Rolf U. and Scotch, Matthew}, year={2016}, pages={1–19} }