Literature DB >> 2711060

An analysis of disease surveillance data that uses the geographic locations of the reporting units.

R F Raubertas1.   

Abstract

The primary purpose of a disease surveillance system is to provide data for the detection of changes in the incidence of the disease. Methods for the analysis of data from surveillance systems are reviewed. A new procedure is proposed for use when the system includes geographically dispersed reporting units, such as hospitals or administrative regions. The method is based on the cusum statistic, and combines information from different units according to their geographic relationships.

Mesh:

Year:  1989        PMID: 2711060     DOI: 10.1002/sim.4780080306

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


  3 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.  Mathematical modeling in perspective of vector-borne viral infections: a review.

Authors:  Ramakant Prasad; Surendra Kumar Sagar; Shama Parveen; Ravins Dohare
Journal:  Beni Suef Univ J Basic Appl Sci       Date:  2022-08-19

Review 3.  Mathematical modeling of infectious disease dynamics.

Authors:  Constantinos I Siettos; Lucia Russo
Journal:  Virulence       Date:  2013-04-03       Impact factor: 5.882

  3 in total

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