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pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies

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  • Jirjies, Saman
  • Wallstrom, Garrick
  • Halden, Rolf U.
  • Scotch, Matthew

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.

Suggested Citation

  • Jirjies, Saman & Wallstrom, Garrick & Halden, Rolf U. & Scotch, Matthew, 2016. "pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i06).
    • Handle: RePEc:jss:jstsof:v:074:i06
    DOI: http://hdl.handle.net/10.18637/jss.v074.i06
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    Cited by:

    1. Luc Anselin & Xun Li, 2019. "Operational local join count statistics for cluster detection," Journal of Geographical Systems, Springer, vol. 21(2), pages 189-210, June.

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