pyJacqQ: Python implementation of Jacquez’s Q-statistics for space-time clustering of disease exposure in case-control studies

Saman Jirjies; Garrick Wallstrom; Rolf Halden; Matthew Scotch

doi:10.18637/jss.v074.i06

pyJacqQ: Python implementation of Jacquez’s Q-statistics for space-time clustering of disease exposure in case-control studies

Saman Jirjies, Garrick Wallstrom, Rolf Halden, Matthew Scotch

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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 language	English (US)
Journal	Journal of Statistical Software
Volume	74
DOIs	https://doi.org/10.18637/jss.v074.i06
State	Published - 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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10.18637/jss.v074.i06

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abstract = "Jacquez{\textquoteright}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{\textquoteright}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.",

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author = "Saman Jirjies and Garrick Wallstrom and Rolf Halden and Matthew Scotch",

year = "2016",

doi = "10.18637/jss.v074.i06",

language = "English (US)",

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AU - Wallstrom, Garrick

AU - Halden, Rolf

AU - Scotch, Matthew

PY - 2016

Y1 - 2016

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AB - 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.

KW - Clustering

KW - Epidemiology

KW - Jacquez’s Q

KW - Public health

KW - Python

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pyJacqQ: Python implementation of Jacquez’s Q-statistics for space-time clustering of disease exposure in case-control studies

Abstract

Keywords

ASJC Scopus subject areas

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