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

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

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...

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Bibliographic Details
Main Authors: Saman Jirjies, Garrick Wallstrom, Rolf U. Halden, Matthew Scotch
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2016-10-01
Series:Journal of Statistical Software
Subjects:
Python
epidemiology
Jacquez's Q
clustering
public health
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2892
Description
Summary: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.
ISSN:1548-7660

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