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.

Original languageEnglish (US)
JournalJournal of Statistical Software
Volume74
DOIs
StatePublished - Jan 1 2016

Keywords

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

ASJC Scopus subject areas

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

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