Literature DB >> 1410961

Evaluations of methods for statistical surveillance.

M Frisén1.   

Abstract

The needs for statistical surveillance in different areas of medicine are described. The predictive value of an alarm and other measures for the evaluation of alarm procedures are suggested. The measures are used to evaluate some common methods of continual surveillance of time series. It is demonstrated that some methods have about the same properties at the start of the surveillance period as later. This is however not the case for all methods. For some methods the consequence of an early alarm should be quite different from that of a late one.

Mesh:

Year:  1992        PMID: 1410961     DOI: 10.1002/sim.4780111107

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


  6 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

2.  Intelligent information: a national system for monitoring clinical performance.

Authors:  Alex Bottle; Paul Aylin
Journal:  Health Serv Res       Date:  2008-02       Impact factor: 3.402

3.  Forecasting disease risk for increased epidemic preparedness in public health.

Authors:  M F Myers; D J Rogers; J Cox; A Flahault; S I Hay
Journal:  Adv Parasitol       Date:  2000       Impact factor: 3.870

4.  Approaches to the evaluation of outbreak detection methods.

Authors:  Rochelle E Watkins; Serryn Eagleson; Robert G Hall; Lynne Dailey; Aileen J Plant
Journal:  BMC Public Health       Date:  2006-10-24       Impact factor: 3.295

5.  Defining and detecting malaria epidemics in the highlands of western Kenya.

Authors:  Simon I Hay; Milka Simba; Millie Busolo; Abdisalan M Noor; Helen L Guyatt; Sam A Ochola; Robert W Snow
Journal:  Emerg Infect Dis       Date:  2002-06       Impact factor: 6.883

6.  Comparison of Statistical Algorithms for the Detection of Infectious Disease Outbreaks in Large Multiple Surveillance Systems.

Authors:  Doyo G Enki; Paul H Garthwaite; C Paddy Farrington; Angela Noufaily; Nick J Andrews; Andre Charlett
Journal:  PLoS One       Date:  2016-08-11       Impact factor: 3.240

  6 in total

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