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.

Original languageEnglish (US)
JournalJournal of Statistical Software
StatePublished - 2016


  • Clustering
  • Epidemiology
  • Jacquez’s Q
  • Public health
  • Python

ASJC Scopus subject areas

  • Software
  • Statistics and Probability
  • Statistics, Probability and Uncertainty


Dive into the research topics of 'pyJacqQ: Python implementation of Jacquez’s Q-statistics for space-time clustering of disease exposure in case-control studies'. Together they form a unique fingerprint.

Cite this