Literature DB >> 9308133

Surveillance systems for monitoring the development of spatial patterns.

P A Rogerson1.   

Abstract

Statistical methods concerned with the identification of temporal patterns may be classified into those that examine retrospectively a set of observations, and those that constitute surveillance systems that monitor changes as new observations become available. A similar distinction applies to the identification of geographical patterns in spatial data. There has been a notable lack of attention given to the surveillance of spatial pattern. This paper concerns development of a cumulative sum statistic and procedure for the monitoring of spatial pattern, and its application to both simulated data and to data on Burkitt's lymphoma in Uganda.

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Year:  1997        PMID: 9308133     DOI: 10.1002/(sici)1097-0258(19970930)16:18<2081::aid-sim638>3.0.co;2-w

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


  11 in total

1.  An analytic framework fo space-time aberrancy detection in public health surveillance data.

Authors:  David L Buckeridge; Mark A Musen; Paul Switzer; Monica Crubézy
Journal:  AMIA Annu Symp Proc       Date:  2003

Review 2.  Review of software for space-time disease surveillance.

Authors:  Colin Robertson; Trisalyn A Nelson
Journal:  Int J Health Geogr       Date:  2010-03-12       Impact factor: 3.918

3.  Towards evidence-based, GIS-driven national spatial health information infrastructure and surveillance services in the United Kingdom.

Authors:  Maged N Kamel Boulos
Journal:  Int J Health Geogr       Date:  2004-01-28       Impact factor: 3.918

4.  Cluster Detection Mechanisms for Syndromic Surveillance Systems: Systematic Review and Framework Development.

Authors:  Prosper Kandabongee Yeng; Ashenafi Zebene Woldaregay; Terje Solvoll; Gunnar Hartvigsen
Journal:  JMIR Public Health Surveill       Date:  2020-05-26

Review 5.  Review of methods for space-time disease surveillance.

Authors:  Colin Robertson; Trisalyn A Nelson; Ying C MacNab; Andrew B Lawson
Journal:  Spat Spatiotemporal Epidemiol       Date:  2010-02-20

6.  An integrated framework for the geographic surveillance of chronic disease.

Authors:  Nikolaos Yiannakoulias; Lawrence W Svenson; Donald P Schopflocher
Journal:  Int J Health Geogr       Date:  2009-11-30       Impact factor: 3.918

Review 7.  Spatial epidemiology: current approaches and future challenges.

Authors:  Paul Elliott; Daniel Wartenberg
Journal:  Environ Health Perspect       Date:  2004-06       Impact factor: 9.031

8.  A real-time spatio-temporal syndromic surveillance system with application to small companion animals.

Authors:  Alison C Hale; Fernando Sánchez-Vizcaíno; Barry Rowlingson; Alan D Radford; Emanuele Giorgi; Sarah J O'Brien; Peter J Diggle
Journal:  Sci Rep       Date:  2019-11-28       Impact factor: 4.379

9.  A new PSO-optimized geometry of spatial and spatio-temporal scan statistics for disease outbreak detection.

Authors:  Hesam Izakian; Witold Pedrycz
Journal:  Swarm Evol Comput       Date:  2012-02-13       Impact factor: 7.177

10.  Enhancing the monitoring of fallen stock at different hierarchical administrative levels: an illustration on dairy cattle from regions with distinct husbandry, demographical and climate traits.

Authors:  Amanda Fernández-Fontelo; Pedro Puig; German Caceres; Luis Romero; Crawford Revie; Javier Sanchez; Fernanda C Dorea; Ana Alba-Casals
Journal:  BMC Vet Res       Date:  2020-04-14       Impact factor: 2.741

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