Literature DB >> 16453371

A workflow spatial scan statistic.

Luiz Duczmal1, David L Buckeridge.   

Abstract

We propose a modification of the spatial scan statistic that takes account of workflow, which is the movement of individuals between home and work. The objective is to detect clusters of disease in situations where exposure occurs in the workplace, but only home address is available for analysis. In these situations, application of the usual spatial scan statistic does not account for possible differences between home and work address, thereby reducing the power of detection. We describe an extension to the usual spatial scan statistic that uses workflow data to search for disease clusters resulting from workplace exposure. We also present results from simulations that demonstrate the increased power of the workflow scan statistic over the usual scan statistic for detecting clusters arising from exposures in the workplace. Copyright 2006 John Wiley & Sons, Ltd.

Mesh:

Year:  2006        PMID: 16453371     DOI: 10.1002/sim.2403

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  4 in total

1.  Penalized likelihood and multi-objective spatial scans for the detection and inference of irregular clusters.

Authors:  André L F Cançado; Anderson R Duarte; Luiz H Duczmal; Sabino J Ferreira; Carlos M Fonseca; Eliane C D M Gontijo
Journal:  Int J Health Geogr       Date:  2010-10-29       Impact factor: 3.918

2.  Voronoi distance based prospective space-time scans for point data sets: a dengue fever cluster analysis in a southeast Brazilian town.

Authors:  Luiz H Duczmal; Gladston Jp Moreira; Denise Burgarelli; Ricardo Hc Takahashi; Flávia Co Magalhães; Emerson C Bodevan
Journal:  Int J Health Geogr       Date:  2011-04-23       Impact factor: 3.918

3.  A scan statistic for binary outcome based on hypergeometric probability model, with an application to detecting spatial clusters of Japanese encephalitis.

Authors:  Xing Zhao; Xiao-Hua Zhou; Zijian Feng; Pengfei Guo; Hongyan He; Tao Zhang; Lei Duan; Xiaosong Li
Journal:  PLoS One       Date:  2013-06-13       Impact factor: 3.240

4.  Measuring the effect of commuting on the performance of the Bayesian Aerosol Release Detector.

Authors:  Aurel Cami; Garrick L Wallstrom; William R Hogan
Journal:  BMC Med Inform Decis Mak       Date:  2009-11-03       Impact factor: 2.796

  4 in total

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