Literature DB >> 8805074

The analysis of disease clusters, Part II: Introduction to techniques.

G M Jacquez1, R Grimson, L A Waller, D Wartenberg.   

Abstract

Public health professionals often are asked to investigate apparent clusters of human health events or "disease clusters." A cluster is an excess of cases in space (a geographic cluster), in time (a temporal cluster), or in both space and time. This is the second part of an introductory-level review of the analysis of disease clusters for physicians and health professionals concerned with infection surveillance in hospitals. It reviews the status of the field with the hope of expanding the use of cluster analysis methods for the routine surveillance of infectious diseases in the hospital environment.

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Year:  1996        PMID: 8805074     DOI: 10.1086/647325

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  9 in total

Review 1.  Investigation of clusters of adverse reproductive outcomes, an overview.

Authors:  P De Wals
Journal:  Eur J Epidemiol       Date:  1999-10       Impact factor: 8.082

Review 2.  Methodological problems and the role of statistics in cluster response studies: a framework.

Authors:  P K Quataert; B Armstrong; A Berghold; F Bianchi; A Kelly; M Marchi; M Martuzzi; A Rosano
Journal:  Eur J Epidemiol       Date:  1999-10       Impact factor: 8.082

3.  Using a statistical process control chart during the quality assessment of cancer registry data.

Authors:  Zachary M Myles; Robert R German; Reda J Wilson; Manxia Wu
Journal:  J Registry Manag       Date:  2011

4.  Cluster morphology analysis.

Authors:  Geoffrey M Jacquez
Journal:  Spat Spatiotemporal Epidemiol       Date:  2009 Oct-Dec

5.  Epidemiology of necrotizing enterocolitis temporal clustering in two neonatology practices.

Authors:  Jareen Meinzen-Derr; Ardythe L Morrow; Richard W Hornung; Edward F Donovan; Kim N Dietrich; Paul A Succop
Journal:  J Pediatr       Date:  2008-12-25       Impact factor: 4.406

6.  Global, local and focused geographic clustering for case-control data with residential histories.

Authors:  Geoffrey M Jacquez; Andy Kaufmann; Jaymie Meliker; Pierre Goovaerts; Gillian AvRuskin; Jerome Nriagu
Journal:  Environ Health       Date:  2005-03-22       Impact factor: 5.984

7.  Detecting cancer clusters in a regional population with local cluster tests and Bayesian smoothing methods: a simulation study.

Authors:  Dorothea Lemke; Volkmar Mattauch; Oliver Heidinger; Edzer Pebesma; Hans-Werner Hense
Journal:  Int J Health Geogr       Date:  2013-12-07       Impact factor: 3.918

8.  Necrotizing Enterocolitis and Spontaneous Intestinal Perforation: A Spatiotemporal Case Cluster Analysis.

Authors:  Thomas Murphy; Samuel Yang; Richard Tucker; Hillary Collyer; Arlet G Kurkchubasche; Jesse Bender
Journal:  Pediatr Qual Saf       Date:  2019-01-04

9.  Binary cumulative sums and moving averages in nosocomial infection cluster detection.

Authors:  Samuel M Brown; James C Benneyan; Daniel A Theobald; Kenneth Sands; Matthew T Hahn; Gail A Potter-Bynoe; John M Stelling; Thomas F O'Brien; Donald A Goldmann
Journal:  Emerg Infect Dis       Date:  2002-12       Impact factor: 6.883

  9 in total

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